Your first neural network

In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of the code, but left the implementation of the neural network up to you (for the most part). After you've submitted this project, feel free to explore the data and the model more.

%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

Load and prepare the data

A critical step in working with neural networks is preparing the data correctly. Variables on different scales make it difficult for the network to efficiently learn the correct weights. Below, we've written the code to load and prepare the data. You'll learn more about this soon!

data_path = 'Bike-Sharing-Dataset/hour.csv'

rides = pd.read_csv(data_path)

rides.head()

	instant	dteday	season	yr	mnth	hr	holiday	weekday	workingday	weathersit	temp	atemp	hum	windspeed	casual	registered	cnt
0	1	2011-01-01	1	0	1	0	0	6	0	1	0.24	0.2879	0.81	0.0	3	13	16
1	2	2011-01-01	1	0	1	1	0	6	0	1	0.22	0.2727	0.80	0.0	8	32	40
2	3	2011-01-01	1	0	1	2	0	6	0	1	0.22	0.2727	0.80	0.0	5	27	32
3	4	2011-01-01	1	0	1	3	0	6	0	1	0.24	0.2879	0.75	0.0	3	10	13
4	5	2011-01-01	1	0	1	4	0	6	0	1	0.24	0.2879	0.75	0.0	0	1	1

Checking out the data

This dataset has the number of riders for each hour of each day from January 1 2011 to December 31 2012. The number of riders is split between casual and registered, summed up in the cnt column. You can see the first few rows of the data above.

Below is a plot showing the number of bike riders over the first 10 days or so in the data set. (Some days don't have exactly 24 entries in the data set, so it's not exactly 10 days.) You can see the hourly rentals here. This data is pretty complicated! The weekends have lower over all ridership and there are spikes when people are biking to and from work during the week. Looking at the data above, we also have information about temperature, humidity, and windspeed, all of these likely affecting the number of riders. You'll be trying to capture all this with your model.

rides[:24*10].plot(x='dteday', y='cnt')

<matplotlib.axes._subplots.AxesSubplot at 0x299d7807908>

Dummy variables

Here we have some categorical variables like season, weather, month. To include these in our model, we'll need to make binary dummy variables. This is simple to do with Pandas thanks to get_dummies().

dummy_fields = ['season', 'weathersit', 'mnth', 'hr', 'weekday']
for each in dummy_fields:
    dummies = pd.get_dummies(rides[each], prefix=each, drop_first=False)
    rides = pd.concat([rides, dummies], axis=1)

fields_to_drop = ['instant', 'dteday', 'season', 'weathersit', 
                  'weekday', 'atemp', 'mnth', 'workingday', 'hr']
data = rides.drop(fields_to_drop, axis=1)
data.head()

	yr	holiday	temp	hum	windspeed	casual	registered	cnt	season_1	season_2	...	hr_21	hr_22	hr_23	weekday_0	weekday_1	weekday_2	weekday_3	weekday_4	weekday_5	weekday_6
0	0	0	0.24	0.81	0.0	3	13	16	1	0	...	0	0	0	0	0	0	0	0	0	1
1	0	0	0.22	0.80	0.0	8	32	40	1	0	...	0	0	0	0	0	0	0	0	0	1
2	0	0	0.22	0.80	0.0	5	27	32	1	0	...	0	0	0	0	0	0	0	0	0	1
3	0	0	0.24	0.75	0.0	3	10	13	1	0	...	0	0	0	0	0	0	0	0	0	1
4	0	0	0.24	0.75	0.0	0	1	1	1	0	...	0	0	0	0	0	0	0	0	0	1

5 rows × 59 columns

Scaling target variables

To make training the network easier, we'll standardize each of the continuous variables. That is, we'll shift and scale the variables such that they have zero mean and a standard deviation of 1.

The scaling factors are saved so we can go backwards when we use the network for predictions.

quant_features = ['casual', 'registered', 'cnt', 'temp', 'hum', 'windspeed']
# Store scalings in a dictionary so we can convert back later
scaled_features = {}
for each in quant_features:
    mean, std = data[each].mean(), data[each].std()
    scaled_features[each] = [mean, std]
    data.loc[:, each] = (data[each] - mean)/std

Splitting the data into training, testing, and validation sets

We'll save the data for the last approximately 21 days to use as a test set after we've trained the network. We'll use this set to make predictions and compare them with the actual number of riders.

# Save data for approximately the last 21 days 
test_data = data[-21*24:]

# Now remove the test data from the data set 
data = data[:-21*24]

# Separate the data into features and targets
target_fields = ['cnt', 'casual', 'registered']
features, targets = data.drop(target_fields, axis=1), data[target_fields]
test_features, test_targets = test_data.drop(target_fields, axis=1), test_data[target_fields]

We'll split the data into two sets, one for training and one for validating as the network is being trained. Since this is time series data, we'll train on historical data, then try to predict on future data (the validation set).

# Hold out the last 60 days or so of the remaining data as a validation set
train_features, train_targets = features[:-60*24], targets[:-60*24]
val_features, val_targets = features[-60*24:], targets[-60*24:]

Time to build the network

Below you'll build your network. We've built out the structure and the backwards pass. You'll implement the forward pass through the network. You'll also set the hyperparameters: the learning rate, the number of hidden units, and the number of training passes.

<img src="assets/neural_network.png" width=300px>

The network has two layers, a hidden layer and an output layer. The hidden layer will use the sigmoid function for activations. The output layer has only one node and is used for the regression, the output of the node is the same as the input of the node. That is, the activation function is $f(x)=x$. A function that takes the input signal and generates an output signal, but takes into account the threshold, is called an activation function. We work through each layer of our network calculating the outputs for each neuron. All of the outputs from one layer become inputs to the neurons on the next layer. This process is called forward propagation.

We use the weights to propagate signals forward from the input to the output layers in a neural network. We use the weights to also propagate error backwards from the output back into the network to update our weights. This is called backpropagation.

Hint: You'll need the derivative of the output activation function ($f(x) = x$) for the backpropagation implementation. If you aren't familiar with calculus, this function is equivalent to the equation $y = x$. What is the slope of that equation? That is the derivative of $f(x)$.

Below, you have these tasks:

1. Implement the sigmoid function to use as the activation function. Set self.activation_function in __init__ to your sigmoid function.
2. Implement the forward pass in the train method.
3. Implement the backpropagation algorithm in the train method, including calculating the output error.
4. Implement the forward pass in the run method.

class NeuralNetwork(object):
    def __init__(self, input_nodes, hidden_nodes, output_nodes, learning_rate):
        # Set number of nodes in input, hidden and output layers.
        self.input_nodes = input_nodes
        self.hidden_nodes = hidden_nodes
        self.output_nodes = output_nodes

        # Initialize weights
        self.weights_input_to_hidden = np.random.normal(0.0, self.input_nodes**-0.5, 
                                       (self.input_nodes, self.hidden_nodes))

        self.weights_hidden_to_output = np.random.normal(0.0, self.hidden_nodes**-0.5, 
                                       (self.hidden_nodes, self.output_nodes))
        self.lr = learning_rate
        
        #### TODO: Set self.activation_function to your implemented sigmoid function ####
        #
        # Note: in Python, you can define a function with a lambda expression,
        # as shown below.
        self.activation_function = lambda x : 1 / (1 + np.exp(-x))  # Replace 0 with your sigmoid calculation.
        
        ### If the lambda code above is not something you're familiar with,
        # You can uncomment out the following three lines and put your 
        # implementation there instead.
        #
        #def sigmoid(x):
        #    return 0  # Replace 0 with your sigmoid calculation here
        #self.activation_function = sigmoid
                    
    
    def train(self, features, targets):
        ''' Train the network on batch of features and targets. 
        
            Arguments
            ---------
            
            features: 2D array, each row is one data record, each column is a feature
            targets: 1D array of target values
        
        '''
        n_records = features.shape[0]
        delta_weights_i_h = np.zeros(self.weights_input_to_hidden.shape)
        delta_weights_h_o = np.zeros(self.weights_hidden_to_output.shape)
        for X, y in zip(features, targets):
            #### Implement the forward pass here ####
            ### Forward pass ###
            # TODO: Hidden layer - Replace these values with your calculations.
            hidden_inputs = np.dot(X,self.weights_input_to_hidden) # signals into hidden layer
            hidden_outputs = self.activation_function(hidden_inputs)  # signals from hidden layer

            # TODO: Output layer - Replace these values with your calculations.
            final_inputs = np.dot(hidden_outputs,self.weights_hidden_to_output) # signals into final output layer
            final_outputs = (final_inputs) # signals from final output layer
            
            #### Implement the backward pass here ####
            ### Backward pass ###

            # TODO: Output error - Replace this value with your calculations.
            output_error = y - final_outputs # Output layer error is the difference between desired target and actual output. 
            
            # TODO: Backpropagated error terms - Replace these values with your calculations.
            output_error_term = output_error ##* final_outputs * (1 - final_outputs)
            # TODO: Calculate the hidden layer's contribution to the error
            hidden_error =np.dot(output_error_term,self.weights_hidden_to_output.T)##output_error_term in place of output_error
            
            hidden_error_term = hidden_error * hidden_outputs * (1 - hidden_outputs)

            # Weight step (input to hidden)
            delta_weights_i_h += hidden_error_term * X[:,None]
            # Weight step (hidden to output)
            print(output_error_term)
            print(hidden_outputs.T)
            delta_weights_h_o +=  output_error_term * hidden_outputs[:,None]

        # TODO: Update the weights - Replace these values with your calculations.
        self.weights_hidden_to_output += self.lr * delta_weights_h_o /n_records # update hidden-to-output weights with gradient descent step
        self.weights_input_to_hidden += self.lr * delta_weights_i_h /n_records # update input-to-hidden weights with gradient descent step
 
    def run(self, features):
        ''' Run a forward pass through the network with input features 
        
            Arguments
            ---------
            features: 1D array of feature values
        '''
        
        #### Implement the forward pass here ####
        # TODO: Hidden layer - replace these values with the appropriate calculations.
        hidden_inputs = np.dot(features,self.weights_input_to_hidden) # signals into hidden layer
        hidden_outputs = self.activation_function(hidden_inputs) # signals from hidden layer
        
        # TODO: Output layer - Replace these values with the appropriate calculations.
        final_inputs = np.dot(hidden_outputs,self.weights_hidden_to_output) # signals into final output layer
        final_outputs = (final_inputs) # signals from final output layer 
        
        return final_outputs

def MSE(y, Y):
    return np.mean((y-Y)**2)

Unit tests

Run these unit tests to check the correctness of your network implementation. This will help you be sure your network was implemented correctly befor you starting trying to train it. These tests must all be successful to pass the project.

import unittest

inputs = np.array([[0.5, -0.2, 0.1]])
targets = np.array([[0.4]])
test_w_i_h = np.array([[0.1, -0.2],
                       [0.4, 0.5],
                       [-0.3, 0.2]])
test_w_h_o = np.array([[0.3],
                       [-0.1]])

class TestMethods(unittest.TestCase):
    
    ##########
    # Unit tests for data loading
    ##########
    
    def test_data_path(self):
        # Test that file path to dataset has been unaltered
        self.assertTrue(data_path.lower() == 'bike-sharing-dataset/hour.csv')
        
    def test_data_loaded(self):
        # Test that data frame loaded
        self.assertTrue(isinstance(rides, pd.DataFrame))
    
    ##########
    # Unit tests for network functionality
    ##########

    def test_activation(self):
        network = NeuralNetwork(3, 2, 1, 0.5)
        # Test that the activation function is a sigmoid
        self.assertTrue(np.all(network.activation_function(0.5) == 1/(1+np.exp(-0.5))))

    def test_train(self):
        # Test that weights are updated correctly on training
        network = NeuralNetwork(3, 2, 1, 0.5)
        network.weights_input_to_hidden = test_w_i_h.copy()
        network.weights_hidden_to_output = test_w_h_o.copy()
        
        network.train(inputs, targets)
        self.assertTrue(np.allclose(network.weights_hidden_to_output, 
                                    np.array([[ 0.37275328], 
                                              [-0.03172939]])))
        self.assertTrue(np.allclose(network.weights_input_to_hidden,
                                    np.array([[ 0.10562014, -0.20185996], 
                                              [0.39775194, 0.50074398], 
                                              [-0.29887597, 0.19962801]])))

    def test_run(self):
        # Test correctness of run method
        network = NeuralNetwork(3, 2, 1, 0.5)
        network.weights_input_to_hidden = test_w_i_h.copy()
        network.weights_hidden_to_output = test_w_h_o.copy()

        self.assertTrue(np.allclose(network.run(inputs), 0.09998924))

suite = unittest.TestLoader().loadTestsFromModule(TestMethods())
unittest.TextTestRunner().run(suite)

.....

[ 0.30001076]
[ 0.4850045   0.45512111]

----------------------------------------------------------------------
Ran 5 tests in 0.020s

OK

<unittest.runner.TextTestResult run=5 errors=0 failures=0>

Training the network

Here you'll set the hyperparameters for the network. The strategy here is to find hyperparameters such that the error on the training set is low, but you're not overfitting to the data. If you train the network too long or have too many hidden nodes, it can become overly specific to the training set and will fail to generalize to the validation set. That is, the loss on the validation set will start increasing as the training set loss drops.

You'll also be using a method know as Stochastic Gradient Descent (SGD) to train the network. The idea is that for each training pass, you grab a random sample of the data instead of using the whole data set. You use many more training passes than with normal gradient descent, but each pass is much faster. This ends up training the network more efficiently. You'll learn more about SGD later.

Choose the number of iterations

This is the number of batches of samples from the training data we'll use to train the network. The more iterations you use, the better the model will fit the data. However, if you use too many iterations, then the model with not generalize well to other data, this is called overfitting. You want to find a number here where the network has a low training loss, and the validation loss is at a minimum. As you start overfitting, you'll see the training loss continue to decrease while the validation loss starts to increase.

Choose the learning rate

This scales the size of weight updates. If this is too big, the weights tend to explode and the network fails to fit the data. A good choice to start at is 0.1. If the network has problems fitting the data, try reducing the learning rate. Note that the lower the learning rate, the smaller the steps are in the weight updates and the longer it takes for the neural network to converge.

Choose the number of hidden nodes

The more hidden nodes you have, the more accurate predictions the model will make. Try a few different numbers and see how it affects the performance. You can look at the losses dictionary for a metric of the network performance. If the number of hidden units is too low, then the model won't have enough space to learn and if it is too high there are too many options for the direction that the learning can take. The trick here is to find the right balance in number of hidden units you choose.

import sys

### Set the hyperparameters here ###
iterations = 350
learning_rate = 0.08
hidden_nodes = 10
output_nodes = 1

N_i = train_features.shape[1]
network = NeuralNetwork(N_i, hidden_nodes, output_nodes, learning_rate)

losses = {'train':[], 'validation':[]}
for ii in range(iterations):
    # Go through a random batch of 128 records from the training data set
    batch = np.random.choice(train_features.index, size=128)
    X, y = train_features.ix[batch].values, train_targets.ix[batch]['cnt']
                             
    network.train(X, y)
    
    # Printing out the training progress
    train_loss = MSE(network.run(train_features).T, train_targets['cnt'].values)
    val_loss = MSE(network.run(val_features).T, val_targets['cnt'].values)
    sys.stdout.write("\rProgress: {:2.1f}".format(100 * ii/float(iterations)) \
                     + "% ... Training loss: " + str(train_loss)[:5] \
                     + " ... Validation loss: " + str(val_loss)[:5])
    sys.stdout.flush()
    
    losses['train'].append(train_loss)
    losses['validation'].append(val_loss)

[ 2.26896787]
[ 0.55841127  0.59947743  0.41828672  0.57221733  0.44405601  0.35352156
  0.65808633  0.54299312  0.41129385  0.6181985 ]
[ 0.45030919]
[ 0.40599967  0.46590555  0.54263877  0.43503161  0.37009322  0.49412295
  0.44630234  0.46863477  0.53681431  0.59379326]
[ 1.49427865]
[ 0.48067676  0.49539709  0.39509903  0.59112455  0.639642    0.46295528
  0.58078052  0.34427276  0.47528768  0.42449928]
[ 1.96650454]
[ 0.36820143  0.57372398  0.67989798  0.44395769  0.52781354  0.50405957
  0.45583921  0.54826831  0.52333526  0.53837456]
[ 0.6497165]
[ 0.55162258  0.67532475  0.52372002  0.51655278  0.52944155  0.38536201
  0.5794795   0.53142297  0.27566643  0.44625523]
[ 0.91029353]
[ 0.28533271  0.42196627  0.6757041   0.41984434  0.42291949  0.36900779
  0.49261744  0.44734003  0.4538349   0.60629668]
[-0.16476049]
[ 0.48250352  0.56479551  0.66963116  0.40958758  0.32419242  0.66286713
  0.47781581  0.60154319  0.5119604   0.64869242]
[ 0.99539213]
[ 0.38139266  0.54490586  0.40922212  0.56374366  0.46220408  0.55402359
  0.61816783  0.51584419  0.46115347  0.5602051 ]
[-0.0214349]
[ 0.38171279  0.51022165  0.64002511  0.34026866  0.40175797  0.48849655
  0.55659419  0.50916478  0.52064391  0.44337192]
[ 0.16621711]
[ 0.43442254  0.6944961   0.50146596  0.40163037  0.55113565  0.49562807
  0.61379488  0.62256884  0.45731597  0.53768442]
[ 2.41243832]
[ 0.57775989  0.4878516   0.54848915  0.47727598  0.48851011  0.42567905
  0.46049589  0.60252479  0.55290046  0.39283382]
[-0.42056328]
[ 0.4382028   0.61363324  0.46185674  0.40749251  0.55954904  0.56690591
  0.46579295  0.55381208  0.53800078  0.51659797]
[ 3.67828911]
[ 0.55233238  0.51752468  0.43936387  0.55189866  0.5210495   0.39254169
  0.61214719  0.38063045  0.39537829  0.38088074]
[ 0.42054896]
[ 0.45984556  0.65499954  0.40699526  0.47476346  0.68296037  0.54578179
  0.49448961  0.52586825  0.42481586  0.41127857]
[ 0.1256026]
[ 0.60131486  0.52942718  0.69933731  0.3124605   0.52835064  0.42418501
  0.42968278  0.45388142  0.48379102  0.50659391]
[ 0.85676198]
[ 0.48211681  0.54100915  0.38330817  0.52917719  0.54948225  0.37076866
  0.5907825   0.37643139  0.48933461  0.48559607]
[-0.37561694]
[ 0.50347142  0.53302629  0.4855339   0.5242657   0.55343193  0.39978193
  0.60114748  0.61299156  0.58358816  0.39959419]
[ 3.11982652]
[ 0.46036681  0.62432749  0.53656851  0.42703365  0.51718475  0.35083667
  0.61169241  0.68713628  0.37791546  0.52302016]
[ 0.81349799]
[ 0.43132592  0.46648961  0.52125766  0.42905165  0.46082722  0.40708915
  0.46819885  0.49647459  0.59038259  0.6783602 ]
[ 0.2026324]
[ 0.54206681  0.57629551  0.591409    0.4719318   0.40734939  0.58285636
  0.47829615  0.30217985  0.41156769  0.52321836]
[ 0.18579401]
[ 0.42064152  0.58917333  0.62825309  0.35415503  0.4601362   0.53517004
  0.58745683  0.64798202  0.54144937  0.50200283]
[ 0.61384258]
[ 0.57229785  0.60845629  0.56064145  0.42675462  0.39577352  0.51485799
  0.5724723   0.67764389  0.51808666  0.41230009]
[ 1.21596759]
[ 0.54029623  0.62545247  0.55110845  0.42303734  0.40145357  0.39583545
  0.54113785  0.44470749  0.35691726  0.63476408]
[-0.10995072]
[ 0.45720095  0.67053398  0.50645856  0.4881846   0.24580954  0.48712204
  0.64412607  0.61877601  0.49106557  0.59170106]
[ 0.09748457]
[ 0.44524602  0.56367237  0.44229222  0.56339951  0.3737986   0.6104019
  0.55222463  0.64312071  0.48486078  0.53948072]
[ 0.49633545]
[ 0.44437673  0.44297059  0.49585187  0.50927447  0.38394855  0.50419309
  0.52646165  0.4941542   0.57879259  0.63556476]
[ 1.19016024]
[ 0.46112801  0.60516262  0.63277898  0.40159191  0.36592047  0.40550062
  0.61068588  0.64818911  0.39511254  0.60568778]
[ 0.13512885]
[ 0.60318164  0.65290757  0.60444015  0.48354469  0.24605163  0.49822376
  0.53229633  0.55279858  0.37972491  0.61499479]
[-0.48928427]
[ 0.46917336  0.5280223   0.58022824  0.41900073  0.60371727  0.4274263
  0.53703861  0.37683831  0.47974358  0.47452457]
[-0.32522059]
[ 0.43986345  0.57552847  0.51164724  0.42502425  0.57354307  0.3653372
  0.55570911  0.57381521  0.44975527  0.57257082]
[ 3.24558246]
[ 0.50681937  0.56336236  0.46536213  0.47617559  0.45930178  0.50100265
  0.46912145  0.44939443  0.40888363  0.56201571]
[-0.33808594]
[ 0.43360269  0.53910122  0.63918158  0.49159709  0.47945791  0.49599939
  0.5178921   0.53216135  0.38520624  0.4980373 ]
[ 0.79659097]
[ 0.38071486  0.48391661  0.54194844  0.45557596  0.56180483  0.63947287
  0.45538706  0.58804526  0.49917306  0.5940377 ]
[ 0.262576]
[ 0.41062135  0.47227366  0.63304886  0.37053787  0.39430359  0.60286069
  0.50250824  0.5657901   0.51082495  0.51062625]
[-0.34349828]
[ 0.41449422  0.59278086  0.68590828  0.42012986  0.41910625  0.4858396
  0.53195017  0.59666101  0.39844642  0.35068771]
[ 0.69602444]
[ 0.62082865  0.56911733  0.67078902  0.40353111  0.34648139  0.41298672
  0.47565721  0.45362028  0.5189402   0.46400591]
[-0.32979515]
[ 0.52199946  0.59657738  0.49667369  0.4542469   0.54000179  0.52401208
  0.55136987  0.64878398  0.55825264  0.56969475]
[ 2.42695342]
[ 0.47384652  0.63171925  0.4891869   0.45126193  0.39821108  0.47848614
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[ 0.92031458]
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[ 1.3700772]
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[ 0.42339255]
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[ 2.30943054]
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[ 0.48519818]
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[ 1.43057981]
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[ 0.41551377]
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[ 0.69695961]
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[ 2.71732911]
[ 0.67533592  0.57682916  0.4856112   0.58701272  0.3442465   0.52839646
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[ 1.24181598]
[ 0.56985318  0.62953765  0.46613837  0.40030574  0.49777662  0.38092263
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[ 0.11968488]
[ 0.53462463  0.6723257   0.44450666  0.53104375  0.28276067  0.48264694
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[-0.36431789]
[ 0.40392578  0.47713427  0.61393205  0.40555069  0.49445308  0.32468498
  0.52553023  0.38568543  0.50804943  0.56521271]
[ 1.21596759]
[ 0.54029623  0.62545247  0.55110845  0.42303734  0.40145357  0.39583545
  0.54113785  0.44470749  0.35691726  0.63476408]
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[ 0.45115367  0.55364342  0.59914516  0.3801008   0.59352544  0.57783227
  0.42604291  0.49208487  0.57228034  0.4280589 ]
Progress: 0.0% ... Training loss: 1.147 ... Validation loss: 1.840[-0.44108956]
[ 0.44167939  0.49795662  0.74862428  0.36402078  0.34426808  0.54325373
  0.4418417   0.52212139  0.34837778  0.45569392]
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[ 1.57308354]
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[ 0.36499274]
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[ 0.1245445]
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[ 0.02288756]
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[ 0.59924759]
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[ 0.46588069]
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[ 0.48371144]
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[ 0.35995415]
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[ 0.21490176]
[ 0.38482206  0.58295787  0.60434207  0.37871066  0.55191886  0.53550858
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[ 0.66809237]
[ 0.42555512  0.65929065  0.64192376  0.39735395  0.51997887  0.46706012
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[ 0.96895405]
[ 0.44221272  0.59408472  0.58712443  0.37879964  0.50525441  0.37554443
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[ 0.49683824  0.55256465  0.52905866  0.5867777   0.4383752   0.60839213
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[ 2.16622059]
[ 0.53331797  0.48999931  0.46017257  0.56212367  0.48542135  0.55569455
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[ 0.22794197]
[ 0.36089399  0.61740263  0.47759451  0.52158826  0.41982931  0.51100611
  0.53158098  0.6935054   0.49212098  0.63264856]
Progress: 0.3% ... Training loss: 1.068 ... Validation loss: 1.713[ 0.12642044]
[ 0.58640529  0.54447839  0.35398149  0.60280509  0.47441958  0.53155745
  0.50939358  0.46655117  0.64277074  0.38845373]
[ 3.14445348]
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  0.65388498  0.55623491  0.47291672  0.45557479]
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[ 0.55928832]
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[ 0.96678538]
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[ 0.33346327]
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[ 0.34379866]
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[ 0.89618894]
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[ 3.92527726]
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[ 0.30860186]
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[ 0.11478564]
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[ 1.01379954]
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[ 1.80823699]
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[ 1.22428028]
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[ 0.14393835]
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[ 0.41797897]
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[ 0.39907775]
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[ 0.26198011]
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[ 1.99256528]
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[ 0.09237297]
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[ 3.31804197]
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[ 2.03772239]
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[ 0.34256849]
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[ 0.02542078]
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[ 3.96217762]
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[ 1.64954253]
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[ 1.18804223]
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[ 0.14533709]
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[ 0.1579533]
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[ 0.45911808]
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[ 0.63355542]
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[ 0.47872205]
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[ 2.5672737]
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[ 2.42154353]
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[ 1.95438567]
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[ 0.2405455]
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[ 0.34324255]
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[ 0.87114536]
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[ 1.13912989]
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[ 2.28384962]
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[ 0.39290608]
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[ 0.52480444]
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[ 0.4117688   0.55739258  0.4072237   0.51402423  0.45146113  0.5047043
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[ 0.42195107  0.46447549  0.51911674  0.52774923  0.52179706  0.6120549
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[ 0.53681065]
[ 0.52164844  0.51757809  0.35983242  0.5808093   0.445013    0.61245204
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[ 0.09403713]
[ 0.49195886  0.64450206  0.51977506  0.47731284  0.28008782  0.50883967
  0.59061307  0.60718898  0.51203353  0.56157188]
Progress: 0.6% ... Training loss: 1.008 ... Validation loss: 1.605[ 1.21490175]
[ 0.49500674  0.59763707  0.51410879  0.44902875  0.35459437  0.51595326
  0.5060918   0.50937791  0.49570809  0.49797041]
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[ 1.06775065]
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[ 2.09784347]
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[ 0.0470727]
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[ 0.9494624]
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[ 0.64632]
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[ 0.39651376]
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[ 1.09339523]
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[ 0.01178649]
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[ 2.31045699]
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[ 0.79708054]
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[ 0.64109216]
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[ 0.66563788]
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[ 0.71361781]
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[ 0.21906677]
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[ 0.17560629]
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[ 2.64701106]
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[ 0.43025402]
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[ 0.33238919]
[ 0.44668465  0.57623242  0.43673522  0.56890317  0.43696032  0.56452057
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[ 0.5263082   0.56000462  0.56831445  0.42122009  0.54327062  0.41185839
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  0.5607034   0.71060846  0.53795225  0.40494015]
Progress: 0.9% ... Training loss: 0.984 ... Validation loss: 1.561[ 0.02248369]
[ 0.3205377   0.47457816  0.60507946  0.40328914  0.54498582  0.51877027
  0.69581581  0.53688409  0.42116338  0.49801103]
[ 0.05979445]
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[ 0.79385593]
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[ 0.34400136]
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[ 1.45654407]
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[ 2.22832531]
[ 0.50605742  0.51815332  0.415093    0.48966618  0.54800593  0.43030632
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[ 0.88909546]
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[ 0.25181986]
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[ 1.57271135]
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[ 1.49836146]
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[ 0.64428441]
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[ 0.18721068]
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[ 0.31688883]
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[ 1.52127306]
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[ 0.18641063]
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[ 2.19520924]
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[ 1.92087211]
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[ 0.00241625]
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[ 1.52068462]
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[ 0.67044445]
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[ 1.1688242]
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[ 2.3914385]
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[ 1.11526278]
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[ 0.07660467]
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[ 0.84152233]
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[ 0.72769456]
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[ 0.95632759]
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[ 0.79567863]
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[ 0.27298655]
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[ 0.18114441]
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[ 0.5079221]
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[ 0.45845923]
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[ 0.64936641]
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[ 0.25430909]
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[ 0.2563035]
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[ 0.17093254]
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  0.69907267  0.69639616  0.51260134  0.59933087]
[ 1.07946734]
[ 0.52501431  0.65235433  0.29189962  0.64900087  0.58698029  0.467311
  0.55079024  0.39401684  0.41345138  0.52007554]
[ 0.02758831]
[ 0.46384291  0.5401033   0.62145514  0.39240912  0.40555417  0.36812822
  0.58018191  0.66055279  0.45027861  0.48773516]
[-0.57666303]
[ 0.46211042  0.62469579  0.69171295  0.42651753  0.35712336  0.53439703
  0.47215823  0.5442643   0.44246372  0.5222387 ]
[ 0.30251816]
[ 0.4513625   0.53078349  0.56029644  0.51149888  0.3874572   0.527616
  0.51276556  0.44839951  0.50988447  0.56170695]
[ 0.76799698]
[ 0.50981195  0.46013186  0.4510008   0.45440349  0.64910092  0.32925538
  0.59593934  0.51790047  0.52837462  0.24939387]
[ 0.3458439]
[ 0.45841784  0.57999908  0.44805581  0.50519663  0.57359863  0.34760453
  0.58021713  0.54753585  0.38585146  0.55745546]
Progress: 1.1% ... Training loss: 0.963 ... Validation loss: 1.519[-0.5249358]
[ 0.51192197  0.61377889  0.55894684  0.590493    0.45701248  0.52346217
  0.55116569  0.56044452  0.39655841  0.47330327]
[ 1.14586992]
[ 0.52378861  0.56473913  0.57562337  0.40192578  0.43387297  0.5141078
  0.413919    0.50081238  0.43446074  0.52631964]
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[ 0.40846352  0.61186488  0.53077911  0.4368497   0.38264469  0.40829988
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[ 1.32871412]
[ 0.37218118  0.50060789  0.43164241  0.45578814  0.51478025  0.32552217
  0.58722806  0.63365352  0.49569968  0.5738172 ]
[ 2.13805022]
[ 0.59189479  0.56645562  0.45643427  0.52456647  0.54052194  0.27504509
  0.55461646  0.6263716   0.38501963  0.44768566]
[ 0.77353952]
[ 0.38408317  0.38249149  0.57951276  0.49876859  0.35550243  0.40585454
  0.53345831  0.30760416  0.49965824  0.47267644]
[ 0.11410761]
[ 0.54679461  0.69236075  0.64209833  0.40709004  0.31446882  0.54729859
  0.47798672  0.68139852  0.48328128  0.5214921 ]
[-0.61441836]
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  0.48278216  0.57404995  0.40229331  0.48554414]
[-0.37658948]
[ 0.45873165  0.59353872  0.53081876  0.44025996  0.43503088  0.51539831
  0.58712597  0.64189612  0.61297129  0.37642371]
[ 0.43873529]
[ 0.32930443  0.56044613  0.46998949  0.51473274  0.47697272  0.5373245
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[-0.19466073]
[ 0.54742376  0.5441339   0.53055801  0.44916877  0.44034897  0.33464316
  0.53207295  0.51249482  0.42747898  0.53788274]
[ 0.04945499]
[ 0.50428807  0.60971283  0.48438048  0.53083051  0.45957189  0.55225102
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  0.4478785   0.52240981  0.50425673  0.51588804]
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[ 0.35814929  0.5524458   0.68826434  0.27657662  0.28672742  0.37247141
  0.57245318  0.64347964  0.53294027  0.66589644]
[ 1.12338995]
[ 0.44852311  0.58786579  0.4056292   0.55948089  0.46057714  0.37311796
  0.5881315   0.54833682  0.47634548  0.55720748]
[-0.24439702]
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  0.47977286  0.558237    0.45805184  0.55390745]
[-0.51782299]
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[ 0.03867364]
[ 0.53479354  0.70579075  0.53707935  0.50576245  0.394304    0.49321725
  0.4231551   0.53147439  0.38796789  0.55687448]
[ 0.51890755]
[ 0.56612265  0.66000465  0.50310828  0.52018961  0.4133183   0.35158142
  0.68916623  0.53573447  0.44690988  0.47009686]
[ 1.20301464]
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[ 0.55496598  0.59055092  0.42738791  0.53326157  0.33103864  0.54884426
  0.54004115  0.3796039   0.42115026  0.56292206]
Progress: 1.4% ... Training loss: 0.941 ... Validation loss: 1.469[-0.72303435]
[ 0.3879031   0.66350321  0.55491507  0.51830239  0.3707414   0.55191672
  0.55720709  0.65727964  0.51575398  0.48562717]
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[ 0.20471823]
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[ 2.96442181]
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[ 0.3004158]
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[ 0.87827068]
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[ 0.80246387]
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[ 1.22181633]
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[ 1.19833649]
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[ 0.03460273]
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[ 2.59109678]
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[ 0.05185974]
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[ 1.2730912]
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[ 1.34922872]
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[ 2.08493824]
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[-0.22111942]
[ 0.49942975  0.6081862   0.56536168  0.43940877  0.38764186  0.58556795
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[-0.67322854]
[ 0.50576171  0.52546515  0.59097353  0.53152912  0.46179839  0.54970684
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[ 0.26929739]
[ 0.49792326  0.64535108  0.55360394  0.48868462  0.38875043  0.60076869
  0.4807592   0.63157108  0.40883657  0.58835594]
[ 0.36081941]
[ 0.5513839   0.57694917  0.51704352  0.46329141  0.4549003   0.52963037
  0.56359124  0.68003415  0.47215834  0.43708141]
[ 0.44452678]
[ 0.50984505  0.6776929   0.49181001  0.43904913  0.59985928  0.44440516
  0.47769489  0.5184162   0.38587162  0.56916833]
[ 1.28881129]
[ 0.53542594  0.49778176  0.40515895  0.42883688  0.5768731   0.39912877
  0.60792543  0.4670006   0.482013    0.528975  ]
[ 0.60077373]
[ 0.58477002  0.50968991  0.48828856  0.49153646  0.3921835   0.35872134
  0.4059476   0.49574738  0.61625983  0.52281136]
[-0.26694039]
[ 0.43724763  0.61731744  0.54471481  0.43986189  0.56032897  0.44131899
  0.53758436  0.48700785  0.35755045  0.35106989]
[ 1.12112105]
[ 0.52946841  0.58955925  0.46255524  0.45285658  0.65886176  0.29667487
  0.57014431  0.38953781  0.48918979  0.5494307 ]
[ 0.88256615]
[ 0.54146457  0.61348573  0.48381475  0.41906761  0.48564577  0.52510653
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[ 3.96756633]
[ 0.41729218  0.5323903   0.50453521  0.48175927  0.62488869  0.34143775
  0.51083365  0.63794156  0.43053345  0.39788374]
[ 0.52876625]
[ 0.41472348  0.59967949  0.73391288  0.37620021  0.39430302  0.39570035
  0.48602355  0.43235148  0.35306327  0.50937852]
[-0.71108698]
[ 0.49989622  0.61229571  0.58267402  0.39178375  0.39553391  0.39156637
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[-0.81134345]
[ 0.47087379  0.49023288  0.49402403  0.56281273  0.55099672  0.47945146
  0.57192905  0.401488    0.4673511   0.44060308]
[ 0.77315962]
[ 0.50946901  0.6624117   0.39454117  0.44185269  0.46827168  0.38407293
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[ 0.34845654  0.56790917  0.59722246  0.45855082  0.65956991  0.39886598
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[-0.63784664]
[ 0.43239135  0.5713678   0.48846375  0.52036403  0.39326383  0.503608
  0.58764988  0.71244673  0.59413484  0.47766965]
[-0.17394334]
[ 0.47423419  0.58123121  0.50644773  0.40282691  0.49755774  0.57969542
  0.4010674   0.42367457  0.59108124  0.51623544]
[ 0.33212692]
[ 0.33310007  0.61936041  0.5125631   0.56672093  0.42934065  0.40791654
  0.60862787  0.57525095  0.43843126  0.47466544]
[ 0.4603376]
[ 0.41079419  0.60064556  0.58173686  0.44271606  0.46755369  0.4925413
  0.63357012  0.66809521  0.41270225  0.56556895]
[ 1.82154932]
[ 0.66710942  0.6263521   0.51590089  0.52225179  0.32063448  0.4482179
  0.60248789  0.55202305  0.29985592  0.60385002]
[-0.20909317]
[ 0.36808506  0.50257606  0.42459525  0.50093704  0.4647249   0.64215743
  0.57368509  0.64299627  0.54098518  0.5086037 ]
[-0.90669315]
[ 0.47054347  0.58202864  0.5639241   0.39471081  0.52268327  0.39652071
  0.49478674  0.45899318  0.47123532  0.45890307]
[-0.57391351]
[ 0.49890238  0.63782274  0.61626695  0.51646092  0.44988289  0.4532907
  0.53428701  0.50988438  0.40183168  0.48836863]
Progress: 1.7% ... Training loss: 0.927 ... Validation loss: 1.432[-0.91740904]
[ 0.37008149  0.61527874  0.66872231  0.3876597   0.46287084  0.41577505
  0.49385741  0.53177845  0.37171004  0.52019916]
[-0.2689783]
[ 0.45646648  0.49517784  0.58935667  0.44931097  0.39008692  0.54580274
  0.47914159  0.52373741  0.39086857  0.46496   ]
[-0.38262372]
[ 0.54955355  0.54101867  0.64345118  0.40710659  0.46745584  0.3755169
  0.46028279  0.5405708   0.48873656  0.32576514]
[-0.01954932]
[ 0.36341441  0.70312633  0.43131243  0.45783999  0.49972217  0.66842786
  0.37823498  0.56609172  0.46161204  0.66575948]
[-0.15026996]
[ 0.44310972  0.60214365  0.47126271  0.43208194  0.4427189   0.48504354
  0.57542285  0.55896959  0.57914925  0.41900301]
[-0.4708462]
[ 0.56980191  0.58836968  0.48240471  0.55804352  0.36055677  0.50103316
  0.62832925  0.61917148  0.44946052  0.51202515]
[ 0.2832371]
[ 0.51841045  0.45707451  0.49065614  0.44096848  0.72627215  0.35345865
  0.59529841  0.42304335  0.49915498  0.45391825]
[ 1.03729944]
[ 0.36583294  0.50586264  0.42054673  0.53992093  0.5513964   0.48278504
  0.50207637  0.36166024  0.48070393  0.48674073]
[-0.45875066]
[ 0.47476383  0.55543524  0.60979335  0.34679739  0.3809024   0.46539478
  0.47732208  0.58376495  0.59384856  0.62273534]
[-0.06986627]
[ 0.50635607  0.60715797  0.55295251  0.57022852  0.40323599  0.55782889
  0.45739379  0.45685784  0.38284786  0.50395673]
[-0.75123507]
[ 0.49277984  0.44751336  0.56202469  0.50927067  0.5587054   0.42704273
  0.44349143  0.55485817  0.48739952  0.38880673]
[-0.08396655]
[ 0.36204809  0.56821953  0.4766053   0.487524    0.55971696  0.48153789
  0.49554547  0.71986706  0.5359922   0.59818876]
[ 0.96712203]
[ 0.52100075  0.419777    0.53207969  0.47500887  0.55398489  0.43716982
  0.49948628  0.32595534  0.52856264  0.47985669]
[-0.2984233]
[ 0.57556218  0.73980162  0.3248707   0.6212963   0.37533652  0.49044789
  0.64448037  0.59078564  0.35752023  0.60147318]
[-0.68935854]
[ 0.45366997  0.50051711  0.48395227  0.41591256  0.45230176  0.46872006
  0.51702754  0.53165215  0.55233318  0.6893496 ]
[-0.93414784]
[ 0.43988898  0.61783937  0.4594297   0.40289387  0.56501987  0.5643754
  0.4666275   0.55101242  0.53307465  0.51159274]
[ 0.50351483]
[ 0.50218481  0.60272281  0.40339309  0.58105363  0.59599336  0.42683099
  0.63897519  0.60325419  0.50229343  0.5129209 ]
[ 0.43878077]
[ 0.4178672   0.51388565  0.52410856  0.302445    0.66480111  0.42604034
  0.56477448  0.40387942  0.45887361  0.54756947]
[ 0.20191056]
[ 0.56297227  0.61329915  0.53015938  0.44721049  0.36088541  0.45145177
  0.6058826   0.72057631  0.53742634  0.51458333]
[ 1.01357121]
[ 0.47272831  0.56182446  0.35420936  0.57425253  0.39823971  0.45452048
  0.48339182  0.53066365  0.61829987  0.60173348]
[-0.85815313]
[ 0.51286287  0.62511756  0.5619608   0.38855667  0.43787778  0.50552287
  0.4804372   0.64184162  0.66302628  0.41943182]
[-0.21285269]
[ 0.47612811  0.57297536  0.61479832  0.43883975  0.41588172  0.59457088
  0.47183254  0.4205561   0.38417046  0.58210571]
[-0.63693]
[ 0.44434735  0.50228002  0.55868588  0.5450868   0.57027128  0.48929936
  0.58593682  0.36326748  0.44481508  0.30885267]
[-0.04752244]
[ 0.53210308  0.61175794  0.36798829  0.54029445  0.49181035  0.37099828
  0.64001988  0.26140233  0.29437557  0.48061131]
[ 1.319445]
[ 0.44559416  0.60771889  0.42961803  0.44345953  0.64504206  0.46633333
  0.64837898  0.50728632  0.48299965  0.58473972]
[-0.93827963]
[ 0.35880062  0.56805902  0.56512139  0.48450114  0.58804519  0.35659721
  0.64277045  0.5316584   0.39298173  0.492774  ]
[-0.05863961]
[ 0.62338342  0.55712157  0.49362982  0.49904907  0.42628198  0.45795508
  0.47123108  0.39200414  0.5314647   0.59901741]
[-0.7044182]
[ 0.41833041  0.48610214  0.49833708  0.50157434  0.56423675  0.42784576
  0.59210273  0.45934728  0.46288021  0.46888297]
[ 0.03206373]
[ 0.64286875  0.61749135  0.5844005   0.44961378  0.34508782  0.4732655
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[-0.82333949]
[ 0.4227355   0.4719964   0.50235281  0.47724181  0.53171457  0.32374895
  0.5097735   0.57972668  0.48300624  0.50593104]
[ 1.50170364]
[ 0.38650723  0.53161954  0.52787727  0.502412    0.44787877  0.38652564
  0.53008199  0.43159112  0.41264931  0.55150253]
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[ 0.49671103  0.55105286  0.55631346  0.53333634  0.3854612   0.47048213
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[ 0.45629357]
[ 0.47704134  0.66549472  0.44565802  0.57880153  0.5836273   0.53582962
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[-0.82905029]
[ 0.52412489  0.5990694   0.61559623  0.56873042  0.46863974  0.49532273
  0.45704513  0.58890626  0.41356845  0.40732676]
[-0.80313727]
[ 0.39310388  0.53324186  0.61032764  0.46758864  0.51270896  0.56081279
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[-0.15565088]
[ 0.42613249  0.57054403  0.62679676  0.33869663  0.59107101  0.44660229
  0.53490632  0.51150028  0.45041103  0.51746212]
[ 1.74368495]
[ 0.52499568  0.49617168  0.45545402  0.55010137  0.56885957  0.31319962
  0.52206635  0.55751915  0.54832377  0.39931409]
[-0.14524929]
[ 0.39189981  0.56272096  0.4879937   0.39920497  0.47555324  0.50833341
  0.6355589   0.59886078  0.46708155  0.74681474]
[ 0.48141324]
[ 0.52789697  0.52028959  0.51921815  0.44519824  0.43938437  0.49213131
  0.41072744  0.39574239  0.53539518  0.63279105]
[ 2.18122091]
[ 0.45738877  0.4813621   0.45409994  0.47135219  0.54026443  0.31855148
  0.56859069  0.39389585  0.40293317  0.54108194]
[-0.54071012]
[ 0.41448071  0.6028936   0.45508305  0.49912408  0.51940222  0.37771642
  0.58892604  0.66142838  0.56821541  0.49032563]
[ 0.39409219]
[ 0.43329273  0.59379839  0.47912595  0.5010604   0.40935229  0.59999827
  0.45540669  0.7319739   0.53540121  0.61772379]
[-0.43015667]
[ 0.48101736  0.55748479  0.60338706  0.43772476  0.36325909  0.48665632
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[ 0.4621529   0.50874494  0.63486944  0.49282882  0.43049237  0.48401688
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[ 0.42804117]
[ 0.47658238  0.63780519  0.54017102  0.36560203  0.65802517  0.54350343
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[ 0.25405936]
[ 0.33746022  0.61656633  0.54182619  0.5059787   0.42921055  0.56361066
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[ 0.15350917]
[ 0.44663426  0.58284926  0.43916488  0.52136837  0.42757297  0.64653352
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[ 1.34365534]
[ 0.43218709  0.56377805  0.49293791  0.49489291  0.50856976  0.41194503
  0.5539389   0.52017001  0.41116621  0.55048623]
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[ 0.53430016  0.61709511  0.68106305  0.33152086  0.34346127  0.56945444
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[ 1.33548459]
[ 0.55463872  0.67775345  0.34248879  0.49570057  0.49599381  0.4882044
  0.51291949  0.44718874  0.46454846  0.63665079]
[ 2.48320716]
[ 0.36828119  0.57103648  0.46469393  0.49905001  0.55292882  0.38033034
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[ 0.17325717]
[ 0.40519357  0.509629    0.5307718   0.49251315  0.43642106  0.38265172
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  0.51432954  0.36149808  0.52781766  0.44707131]
[ 0.93513444]
[ 0.51078857  0.61836828  0.40377577  0.43967185  0.72755421  0.38004106
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[ 1.63234476]
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[ 0.44127322]
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[ 0.34273901]
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[ 0.338422]
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[ 0.63642386]
[ 0.4296362   0.67736223  0.52342463  0.41311352  0.54978257  0.3148594
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[ 1.82661478]
[ 0.40743175  0.5427152   0.48633904  0.53499793  0.46163288  0.32148826
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[ 3.41112543]
[ 0.37685054  0.44470296  0.56916995  0.42415088  0.60870744  0.437686
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[ 0.58594606]
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[ 0.19540048]
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[ 1.19452258]
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[ 0.27084673]
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[ 3.72254819]
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[ 0.51179768]
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[ 1.46349958]
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[ 0.57782593]
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[ 0.15851901]
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[ 1.64876045]
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[ 0.95694068]
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[ 1.15595257]
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[ 1.38622415]
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[ 0.71483604]
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[ 0.23182298]
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[ 0.65381065]
[ 0.47536659  0.56517283  0.4982134   0.54575627  0.47738071  0.52756425
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[ 1.31191877]
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[ 1.808502]
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[ 0.90218903]
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[ 1.0629291]
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  0.58284353  0.34073627  0.44438811  0.47651101]
[ 1.66751034]
[ 0.48193316  0.5734841   0.40543604  0.47698025  0.52888637  0.41418755
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[ 0.72642941]
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[ 0.58678907]
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[ 0.06756981]
[ 0.57700046  0.54138022  0.38925264  0.52948603  0.57082917  0.45746882
  0.55917703  0.45287627  0.54564526  0.58785753]
[ 2.84341416]
[ 0.35420294  0.55698604  0.52287347  0.4704514   0.57219183  0.52866257
  0.51744922  0.52998877  0.39614448  0.54165101]
[ 0.5961548]
[ 0.46366688  0.50988159  0.43747821  0.5615618   0.53013687  0.46148809
  0.54627634  0.29464814  0.52646565  0.38476591]
[ 0.13459557]
[ 0.47665134  0.51482394  0.5427069   0.37281668  0.51334126  0.31653265
  0.68069847  0.54174855  0.39232721  0.48103015]
[-0.36651767]
[ 0.42073229  0.65775664  0.49051049  0.45439782  0.41502378  0.59699799
  0.44444971  0.6660271   0.4446014   0.54017198]
[ 2.3704579]
[ 0.40940895  0.62281514  0.62997396  0.54746894  0.35340847  0.48559153
  0.51891298  0.64132895  0.36147445  0.38294843]
[-0.20856237]
[ 0.60135699  0.57319675  0.39617265  0.57754657  0.53115694  0.2997667
  0.66754604  0.43913446  0.42534466  0.58901369]
Progress: 2.0% ... Training loss: 0.917 ... Validation loss: 1.403[-0.74388229]
[ 0.37042551  0.53282735  0.62465594  0.54706647  0.49843706  0.63525489
  0.40124967  0.56852425  0.52890993  0.53978287]
[ 1.04168417]
[ 0.44513364  0.67012586  0.33109519  0.47304352  0.58244606  0.36706047
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[-0.29392561]
[ 0.55440679  0.59632588  0.54158829  0.47211933  0.44252487  0.51352558
  0.55738564  0.42637228  0.4473689   0.51374984]
[ 1.75517986]
[ 0.43825793  0.58425976  0.49945385  0.51011648  0.45459294  0.40296034
  0.51947377  0.61018752  0.39967213  0.51132168]
[ 0.99211631]
[ 0.59419481  0.62922273  0.35722624  0.5085411   0.46926721  0.43537621
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[ 1.01463364]
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[ 0.00217284]
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[ 0.47578146  0.57763286  0.54431319  0.45491079  0.44983506  0.51242699
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[-0.64648224]
[ 0.49655619  0.62725091  0.66481041  0.33772519  0.35198764  0.48419641
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[ 0.38660411  0.51119795  0.46973484  0.54360983  0.45572932  0.54197826
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[ 0.3061451]
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[ 0.02086473]
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[ 0.98971581]
[ 0.53446671  0.62334771  0.44909256  0.52428821  0.50102072  0.39907337
  0.51320759  0.59741688  0.40768882  0.45544621]
[ 2.04573307]
[ 0.535312    0.60884175  0.40447763  0.40272734  0.6688265   0.22533333
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[-0.26800356]
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[ 2.4847941]
[ 0.53619267  0.52271901  0.39668009  0.52715906  0.47080356  0.28993761
  0.49849112  0.4905415   0.49125975  0.48695986]
[-0.62369241]
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[ 0.58691889]
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[ 1.13699116]
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[ 0.76046843]
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[ 0.16879046]
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[ 0.14999214]
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[ 0.07944377]
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[ 0.30787369]
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[ 0.19710293]
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[ 0.20781628]
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[ 0.29613183]
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[ 1.31415553]
[ 0.55044868  0.55615285  0.33632847  0.55906641  0.52947468  0.42508437
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[ 2.61505665]
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[ 0.93377661]
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[ 3.4219498]
[ 0.57535391  0.532981    0.46687895  0.50357546  0.49371575  0.38143799
  0.51541317  0.5606436   0.35599362  0.4500943 ]
[ 0.50230677]
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[ 0.15914622]
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[ 1.23557379]
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[ 0.02304256]
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[ 0.0419662]
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[ 1.14615779]
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[ 0.92615986]
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[ 1.37070009]
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[ 0.35767763]
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[ 0.32684188]
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[ 0.23102198]
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[ 1.37496592]
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[ 1.91721209]
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[ 0.97900155]
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[ 2.78936244]
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  0.5484589   0.34526551  0.41066588  0.4524979 ]
[ 2.03703568]
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[ 1.96141455]
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[ 1.23822987]
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[ 0.35367464]
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[ 1.18167149]
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[ 0.8001393]
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[ 1.11000956]
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[ 1.73638016]
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[ 0.8110973]
[ 0.37553584  0.59945672  0.53986321  0.43254122  0.43840718  0.58018586
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[ 0.39772437  0.59016322  0.65693845  0.53626353  0.38745113  0.65363971
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[-0.14777219]
[ 0.34807624  0.58498872  0.67292114  0.47346138  0.42941207  0.6082893
  0.46596144  0.58568732  0.54868245  0.47759149]
[-0.91254036]
[ 0.46582076  0.54870748  0.6304715   0.49379175  0.47494641  0.44522244
  0.63653666  0.52191047  0.3752769   0.53851228]
[ 1.06004347]
[ 0.40696608  0.53474953  0.46423213  0.51372795  0.58640567  0.35087428
  0.60487193  0.51876447  0.42908052  0.53348631]
[ 0.96411259]
[ 0.52238725  0.58103986  0.70541114  0.35085084  0.48434548  0.34313588
  0.53784887  0.56993651  0.3269904   0.50537656]
Progress: 2.3% ... Training loss: 0.910 ... Validation loss: 1.387[-0.79488282]
[ 0.39888771  0.46619033  0.61155006  0.54904462  0.51399781  0.45588158
  0.58927628  0.30032179  0.36421527  0.35733957]
[ 0.17334753]
[ 0.34103065  0.56039023  0.50360785  0.49217931  0.48931627  0.39307222
  0.63080172  0.52743929  0.48631383  0.41371392]
[ 1.11729731]
[ 0.59376153  0.65898393  0.33228294  0.59380782  0.59527795  0.39096129
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  0.55756826  0.52777273  0.50770561  0.3927491 ]
[ 0.23078124]
[ 0.40725019  0.6608606   0.58489599  0.44109362  0.4643418   0.6227197
  0.36844717  0.52825325  0.44004612  0.59973896]
[ 2.37572177]
[ 0.42470565  0.44562382  0.45728516  0.54038313  0.57547066  0.41054653
  0.60056847  0.47731986  0.4745506   0.41398876]
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  0.57320062  0.47882701  0.41620782  0.5524284 ]
[ 0.43884141]
[ 0.52502434  0.55831391  0.60199096  0.39058919  0.34982535  0.5164269
  0.53923433  0.57701539  0.46664745  0.72522312]
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  0.53323523  0.69075353  0.56756911  0.3929468 ]
[-0.91098253]
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  0.5566081   0.49223216  0.51081328  0.46823608]
[ 1.48705293]
[ 0.42886405  0.56936289  0.47210923  0.47575234  0.59915413  0.40397663
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[-0.52759448]
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[ 0.37154615  0.56430996  0.59647282  0.4732442   0.58459077  0.49558054
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[-1.11873575]
[ 0.5441905   0.58426833  0.52209106  0.42051333  0.63964776  0.41526424
  0.51961508  0.45274502  0.4354248   0.35619342]
[ 1.06919596]
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  0.53134727  0.50025464  0.40778228  0.46955344]
[-0.85385304]
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  0.59734366  0.62951107  0.50899919  0.57499523]
[-0.57006655]
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  0.59286102  0.59814856  0.42940651  0.62963194]
[ 1.49074905]
[ 0.41048647  0.49026169  0.51997344  0.39878441  0.47671951  0.36545508
  0.55107785  0.47684505  0.52215653  0.48605465]
[ 1.16352296]
[ 0.45049277  0.6180873   0.62829458  0.43263205  0.42601683  0.42666858
  0.53087307  0.68739886  0.40132601  0.4337323 ]
[-0.30223251]
[ 0.44599445  0.51680509  0.48114934  0.48771796  0.56239767  0.33588522
  0.64739424  0.59519066  0.50866418  0.3986231 ]
[-0.44779971]
[ 0.47488051  0.64006349  0.58614707  0.48707738  0.45835155  0.5143823
  0.4741657   0.4489267   0.45197178  0.5481158 ]
[-0.41335506]
[ 0.56090126  0.55888359  0.54367747  0.49145561  0.34213609  0.46812306
  0.58241064  0.58154902  0.56619467  0.59424598]
[-0.86946147]
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  0.61771003  0.74512703  0.60189709  0.54917324]
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[ 0.37421902  0.64107863  0.52999277  0.44178248  0.38850965  0.49116668
  0.53481153  0.45544653  0.40518782  0.56182925]
[ 1.83126348]
[ 0.61653205  0.61839447  0.49266459  0.44559767  0.48518414  0.43877998
  0.62900701  0.56598053  0.32347449  0.6022599 ]
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  0.4944775   0.55480988  0.52208772  0.63230447]
[ 0.0041227]
[ 0.48005495  0.64685839  0.36164921  0.55629552  0.6589206   0.48257695
  0.57664276  0.44411628  0.34390928  0.52337323]
[ 0.21149957]
[ 0.39748564  0.74907552  0.60050379  0.45986343  0.52027876  0.47577841
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[ 0.02724343]
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[ 2.25498772]
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[ 0.27533885]
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[ 1.59266635]
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[ 1.6181227]
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[ 1.24954954]
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[ 0.10129254]
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[ 0.83038664]
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[ 1.65044237]
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[ 0.48915953  0.52835271  0.42897678  0.51692293  0.57508074  0.28001398
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[ 1.23110322]
[ 0.42405687  0.53737674  0.47014651  0.46936051  0.62644993  0.35385119
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[ 0.41415859  0.39351834  0.61641309  0.39235947  0.44427001  0.41908432
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[ 0.02736191]
[ 0.52566922  0.4999137   0.37328843  0.60597249  0.47142233  0.61102743
  0.47002281  0.43626398  0.57695796  0.48302438]
[ 0.46853724]
[ 0.39659741  0.59558091  0.56129319  0.58867367  0.26755845  0.67279874
  0.4964474   0.70683371  0.53112071  0.52853563]
[-0.32479067]
[ 0.42409015  0.59044743  0.52631785  0.55325926  0.5355512   0.52024355
  0.52147984  0.36124856  0.37708195  0.37721716]
Progress: 2.6% ... Training loss: 0.905 ... Validation loss: 1.370[ 0.53085485]
[ 0.58338713  0.57422665  0.49383716  0.53485251  0.50921738  0.4911579
  0.51636912  0.48755857  0.46000413  0.53236269]
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[ 0.29156171]
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[ 1.02502661]
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[ 1.49218018]
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[ 0.48927417  0.50647931  0.5495868   0.50472063  0.5162554   0.47340174
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[ 0.42340873  0.58090505  0.63882684  0.44868223  0.40725463  0.61085904
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[ 1.11046266]
[ 0.50037543  0.47930815  0.33297466  0.54814765  0.57984573  0.31644116
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[ 0.15310613]
[ 0.3848343   0.57873573  0.33010823  0.548084    0.48798048  0.5213413
  0.62438756  0.63629364  0.5470147   0.57263391]
Progress: 2.9% ... Training loss: 0.904 ... Validation loss: 1.381[-1.00567761]
[ 0.51370234  0.63230824  0.4299981   0.46637354  0.63031018  0.37279025
  0.70973283  0.53090537  0.41112119  0.51338874]
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[ 0.50400316]
[ 0.56970325  0.55072495  0.42377168  0.50537781  0.56143301  0.50401042
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[ 0.21995337]
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[ 0.26690111]
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[ 1.00487154]
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[ 0.09898677]
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[ 0.93692394]
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[ 0.9736473]
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[ 1.46842956]
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[ 0.12524397]
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[ 0.31927099]
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[ 0.28705748]
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[ 0.48754282]
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[ 0.42356829]
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[ 1.72162167]
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[ 3.03819137]
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[ 2.1837527]
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[ 0.25033175]
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[ 1.42042751]
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[ 0.13933018]
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[ 1.02207799]
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[ 0.96259385]
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[ 0.03255811]
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[ 1.74630561]
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[ 0.03668228]
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[ 0.38898433]
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[ 0.21139717]
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[ 1.0189729]
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[ 0.11795997]
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[ 1.608335]
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[ 0.76277111]
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[ 0.39072986  0.52108763  0.57973675  0.50762674  0.61413937  0.30322625
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[ 0.43536038  0.51796207  0.563192    0.46627928  0.50483808  0.54166207
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[ 3.36510073]
[ 0.59721091  0.62034802  0.42271476  0.49477994  0.55342873  0.30737795
  0.63479053  0.54222741  0.42103553  0.39126919]
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[ 0.46379398  0.57349116  0.53672873  0.45079074  0.62739028  0.39889816
  0.67163013  0.49550216  0.34898282  0.50708267]
[-0.29273835]
[ 0.49191811  0.48862392  0.57315076  0.43025517  0.50639618  0.276192
  0.59827912  0.648328    0.44371319  0.50835554]
[-0.87408806]
[ 0.47338632  0.54652341  0.63974295  0.49065241  0.38432377  0.49731077
  0.52413339  0.56548666  0.44058102  0.49755829]
[ 1.19814837]
[ 0.29667299  0.55946369  0.68915457  0.38454682  0.50049297  0.61848536
  0.38049706  0.47602247  0.40890258  0.58886785]
[ 0.2849306]
[ 0.39465934  0.66749191  0.35428883  0.6077693   0.38790569  0.67731195
  0.52979984  0.67968058  0.51895474  0.58053482]
Progress: 3.1% ... Training loss: 0.901 ... Validation loss: 1.379[-0.31628621]
[ 0.64773514  0.55656075  0.40320645  0.56740161  0.48396795  0.5158868
  0.53682254  0.38698299  0.47267629  0.47957756]
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[ 0.3659693]
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[ 1.44354115]
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[ 0.40413846  0.505525    0.51983994  0.36453761  0.42046836  0.28315194
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[ 1.38902902]
[ 0.51074975  0.64727575  0.4868348   0.57059289  0.55285496  0.52864201
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[ 1.06021732]
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[ 1.14386417]
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[ 1.17475606]
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[ 0.76441937]
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[ 1.42806515]
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[ 0.47419436]
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[ 0.0702924]
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[ 1.74793548]
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[ 0.46783109]
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[ 3.58986744]
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[ 0.40068014]
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[ 2.20016973]
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  0.45735794  0.57570419  0.45389509  0.51931881]
[ 1.96159601]
[ 0.46056722  0.55013512  0.51015018  0.4104329   0.53271721  0.54205327
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[ 0.10718996]
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[ 0.06508651]
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[ 0.18303413]
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[ 1.02931802]
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[ 1.62809722]
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[ 0.97866509]
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[ 1.34538243]
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[ 0.92462462]
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[ 1.08516754]
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[ 0.67409811]
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[ 1.11536609]
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[ 2.31426962]
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[ 0.27687988]
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[ 2.25045441]
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[ 0.40891333]
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[ 1.05637062]
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[ 0.21493069]
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[ 1.14722849]
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[ 0.69989548]
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[ 0.93607286]
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[ 0.15820979]
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[ 0.4614807]
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[ 0.113109]
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[ 2.35525522]
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[ 0.35833339]
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[ 0.73465452]
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[ 0.07910308]
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[ 1.68957215]
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[ 0.48476504  0.50250703  0.54580427  0.45099546  0.51522785  0.30056722
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[ 0.39428601  0.49706762  0.70108823  0.34841141  0.48902032  0.56158181
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[ 0.75422027]
[ 0.51956556  0.62579709  0.43751197  0.51355392  0.51433614  0.3855395
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[ 0.54739699  0.55750826  0.4169858   0.6240006   0.50043857  0.5375258
  0.51363972  0.32231132  0.45489368  0.42808178]
Progress: 3.4% ... Training loss: 0.897 ... Validation loss: 1.367[-0.8386571]
[ 0.37503458  0.55760126  0.61553887  0.45840563  0.42183695  0.55951591
  0.64383172  0.69877233  0.45784993  0.59160358]
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[ 0.40718089]
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[ 0.04990705]
[ 0.54242025  0.6784092   0.36812566  0.6080002   0.35320768  0.52609407
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[ 0.72649216]
[ 0.42442012  0.47849196  0.56432284  0.38935833  0.69507856  0.41881165
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[-0.38480748]
[ 0.41721869  0.5819078   0.63046054  0.35919205  0.45139691  0.53809509
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[ 0.783203]
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[ 1.87736549]
[ 0.36314643  0.4967823   0.65328837  0.40047029  0.44685914  0.47298091
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[ 0.52689183]
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[ 0.30630154]
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[ 0.41098056]
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[ 0.09299172]
[ 0.44932019  0.45290966  0.62801605  0.52155302  0.23009462  0.52673284
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[ 1.21638111]
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[ 0.3266362]
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[ 0.12849644]
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[ 0.01671997]
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[ 2.55544662]
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[ 2.63050569]
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[ 1.82813011]
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[ 0.03761202]
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[ 1.26166575]
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[ 1.89125079]
[ 0.44878406  0.63190269  0.45432662  0.50101971  0.65798099  0.40795337
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[ 0.4266389]
[ 0.49197184  0.59031617  0.4017601   0.55004502  0.49485434  0.49791429
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[ 0.45917807  0.54555     0.51006884  0.56960688  0.6934331   0.37551688
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[ 0.39873862  0.44278179  0.55205307  0.45514419  0.57357903  0.45173956
  0.4464863   0.50933557  0.50745412  0.49757877]
[ 1.33257542]
[ 0.43659893  0.53228251  0.52663145  0.50267111  0.42880934  0.59705573
  0.48403028  0.59323435  0.58232839  0.40997414]
[-0.86656342]
[ 0.4474309   0.56161799  0.58240945  0.44534532  0.51033379  0.4777982
  0.4471871   0.48665513  0.52530685  0.54205542]
[ 1.32782438]
[ 0.52355525  0.56031074  0.57545283  0.50268061  0.5092652   0.42801979
  0.4934775   0.46595587  0.42591992  0.51270755]
[-0.10262058]
[ 0.33992257  0.52141196  0.49585812  0.55556065  0.36789018  0.71038655
  0.41656278  0.58678539  0.59242113  0.63472431]
Progress: 3.7% ... Training loss: 0.896 ... Validation loss: 1.379[ 1.72534378]
[ 0.60582456  0.52798038  0.44928288  0.58523649  0.42674596  0.5181881
  0.56996601  0.46929864  0.47161592  0.42469937]
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[ 0.36303073  0.54024146  0.59440492  0.43566611  0.59654689  0.35121145
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[ 0.51795498]
[ 0.36512549  0.59181298  0.42477117  0.56372566  0.48512911  0.64659102
  0.56901379  0.70025335  0.44942012  0.46890329]
[ 0.22451092]
[ 0.39355006  0.55929211  0.48199928  0.5334675   0.49931537  0.46222933
  0.58516042  0.51173989  0.45668744  0.4908672 ]
[ 0.74903958]
[ 0.54583574  0.61534758  0.60260131  0.44552971  0.49844207  0.47091843
  0.63279396  0.56618818  0.33031678  0.5935107 ]
[ 1.96665765]
[ 0.62549038  0.55001307  0.41059057  0.59518425  0.45586119  0.37771417
  0.65173277  0.50825654  0.48173412  0.45415465]
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  0.44346945  0.45557242  0.44845668  0.57416387]
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[ 0.39610886  0.5402857   0.59552955  0.36797715  0.56281042  0.46647089
  0.63421604  0.57182796  0.45483774  0.5830987 ]
[ 1.34967688]
[ 0.4564097   0.54655954  0.45363943  0.52893098  0.55592748  0.43379121
  0.484791    0.60423988  0.58138615  0.59196081]
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[ 0.10480599]
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[ 1.9930919]
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[ 0.24643022]
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[-0.32406131]
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[ 0.48878857  0.48049361  0.46301748  0.45822062  0.46796397  0.4392481
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[ 1.10739315]
[ 0.34546267  0.58481668  0.41729302  0.50330557  0.63527424  0.32767197
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[-0.89858652]
[ 0.51559543  0.53929655  0.6445214   0.4549222   0.47739474  0.55820262
  0.51486754  0.64441528  0.45421973  0.48762803]
[-0.24164056]
[ 0.51599474  0.60749126  0.47202997  0.45253415  0.61245014  0.55052037
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[-0.04275038]
[ 0.52566551  0.60573611  0.60227621  0.41754964  0.30223271  0.60045085
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[-0.82214015]
[ 0.50476677  0.62570672  0.60957615  0.44709339  0.41071563  0.42138162
  0.58268645  0.45015136  0.34175389  0.57072328]
Progress: 4.0% ... Training loss: 0.893 ... Validation loss: 1.380[-0.85804579]
[ 0.50584168  0.57476018  0.52249793  0.42237144  0.53711885  0.36503781
  0.5261647   0.61930641  0.45878386  0.63075215]
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[ 0.44183031]
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  0.40637821  0.43563622  0.42700846  0.59297595]
[ 0.77434323]
[ 0.48633637  0.68606637  0.39227917  0.42314547  0.51943027  0.31804087
  0.57122032  0.5261142   0.39556293  0.65164309]
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[ 0.92701936]
[ 0.35963241  0.3465199   0.52550355  0.4828608   0.4472841   0.54010438
  0.48906566  0.46882124  0.45302006  0.4777669 ]
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  0.66554321  0.61912677  0.46066122  0.43518358]
[ 0.40652753]
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[ 0.95361929]
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[ 0.0773848]
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[ 0.92919734]
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[ 0.13318316]
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[ 0.21041048]
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[ 0.60472193]
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[ 3.79721868]
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[-0.51002662]
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[ 1.18978]
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[ 1.53813085]
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[ 0.49806831  0.6080818   0.62169222  0.40763136  0.40133795  0.57096345
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[ 0.59417719]
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[ 0.28707864]
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[ 0.37105922]
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[ 0.06081002]
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[ 0.61522068]
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[ 0.33675405]
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[ 0.76748189]
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[ 1.40673627]
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[ 0.46667581  0.5130718   0.62116939  0.52246956  0.29938794  0.52166219
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[ 0.42092886  0.5303045   0.49426486  0.61060405  0.35980619  0.53938346
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[ 0.24228975]
[ 0.39060882  0.62549538  0.47960313  0.39049742  0.52217091  0.42452275
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[-0.26585552]
[ 0.56507177  0.45730415  0.47222783  0.51371476  0.48858594  0.50941178
  0.41486223  0.4439673   0.47893935  0.45501743]
[ 0.14777152]
[ 0.51402166  0.61581199  0.41066317  0.54527645  0.39359785  0.55645062
  0.50412148  0.58985409  0.41684741  0.61634467]
[-0.22031929]
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[-0.35571297]
[ 0.59367938  0.61525564  0.47601046  0.54878535  0.44826198  0.47440853
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[-0.12321023]
[ 0.30253337  0.62921296  0.68400084  0.35508191  0.39692085  0.39612062
  0.47661222  0.5237677   0.50149703  0.52244774]
[ 0.65583183]
[ 0.37446552  0.5574384   0.4052998   0.4911837   0.55925071  0.36880185
  0.58659023  0.42128357  0.38621932  0.52220387]
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[ 0.38683467  0.50263917  0.68287978  0.39167996  0.33852514  0.33816757
  0.5826667   0.57481232  0.339144    0.61356519]
[ 0.44382841]
[ 0.4157661   0.60855638  0.46702345  0.45903884  0.49297337  0.42369726
  0.58619663  0.65005754  0.55584119  0.48387338]
[ 2.00936112]
[ 0.43085679  0.58224834  0.53115235  0.56708651  0.26793407  0.48051608
  0.66884247  0.63840253  0.398514    0.51832614]
[ 2.02836718]
[ 0.5412546   0.55362488  0.33493688  0.54111314  0.58825708  0.38238401
  0.58151122  0.56729839  0.50417189  0.514497  ]
[-1.00015947]
[ 0.6343093   0.54867451  0.4823189   0.47830988  0.53046583  0.50769231
  0.51320822  0.41452258  0.50186308  0.51286081]
[-0.53630092]
[ 0.48517922  0.59055616  0.45534055  0.5260328   0.52939961  0.54831481
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[ 0.52650994  0.50775996  0.39084027  0.62012228  0.61908037  0.41858953
  0.5485808   0.38768935  0.49384577  0.44459122]
[ 1.78251588]
[ 0.68993093  0.63647887  0.44228598  0.52262313  0.38914309  0.39378288
  0.6352746   0.50742998  0.284516    0.58329484]
[ 1.09712779]
[ 0.48343672  0.62097238  0.33879747  0.54563691  0.55856062  0.47598016
  0.50440331  0.56915359  0.54562233  0.55597338]
[ 0.54290345]
[ 0.45815983  0.55887431  0.5488042   0.42511167  0.48817612  0.38658654
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[-0.60107926]
[ 0.50343862  0.57780164  0.57491195  0.52813673  0.38660606  0.55489809
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[-0.54307805]
[ 0.35118654  0.56155992  0.54685909  0.50043932  0.3578331   0.74192678
  0.44688975  0.63741931  0.49638817  0.60653895]
[ 1.69091158]
[ 0.50342485  0.52823445  0.53968038  0.41374174  0.67007881  0.31277261
  0.6592625   0.58748026  0.46359366  0.5289414 ]
[-0.7588719]
[ 0.44641773  0.57454159  0.59789099  0.56554878  0.43547302  0.61270877
  0.3946405   0.59882159  0.55648428  0.50807913]
[ 1.92110195]
[ 0.56084833  0.67412526  0.51750005  0.56747873  0.44690992  0.44497238
  0.5890824   0.55269547  0.31925839  0.5237848 ]
[ 0.48014316]
[ 0.36884167  0.57238473  0.51158949  0.47346837  0.56827162  0.37433503
  0.54493692  0.50131417  0.36276914  0.4123256 ]
[ 3.00877014]
[ 0.52620301  0.62713674  0.54234863  0.45742661  0.45354946  0.33265233
  0.60071482  0.56540609  0.30124764  0.48896512]
[-0.53802489]
[ 0.42408002  0.44787441  0.67402395  0.37304446  0.30783761  0.43702941
  0.59717918  0.68329514  0.5714497   0.62117711]
[-0.82868145]
[ 0.47636884  0.52238537  0.51828391  0.43269342  0.37714646  0.45656081
  0.59901066  0.44773609  0.4404884   0.48006784]
[-0.23440077]
[ 0.48474251  0.42454841  0.45942643  0.58242261  0.46856448  0.42884957
  0.56017983  0.38242631  0.48485688  0.41325671]
[ 0.97913044]
[ 0.57538231  0.68905813  0.60286114  0.40196635  0.51658248  0.37279831
  0.54437923  0.44584497  0.34628526  0.4794777 ]
Progress: 4.3% ... Training loss: 0.888 ... Validation loss: 1.360[-0.60788475]
[ 0.45738233  0.44702103  0.65449649  0.49561886  0.4236718   0.42817322
  0.50467211  0.59987058  0.42985025  0.40183553]
[ 3.13367032]
[ 0.49345399  0.6565512   0.33240898  0.46196954  0.52306985  0.31748114
  0.62724179  0.52195919  0.39791809  0.4970303 ]
[-0.75878664]
[ 0.43066723  0.43347591  0.65002422  0.41898217  0.40979619  0.45368553
  0.52634491  0.6637734   0.59054184  0.58578272]
[ 3.43824695]
[ 0.51356792  0.68036803  0.34531215  0.55865957  0.5546532   0.28830571
  0.61449628  0.56394137  0.44450032  0.48362013]
[-0.9063032]
[ 0.3891198   0.53191381  0.55724173  0.41342107  0.58889021  0.58960561
  0.38587876  0.56141362  0.50401031  0.51747313]
[-0.49040342]
[ 0.49299217  0.51484573  0.65297203  0.40828343  0.20247573  0.57468026
  0.53099767  0.52342107  0.51719518  0.57685377]
[-0.80042579]
[ 0.52487533  0.53166892  0.55415893  0.47340897  0.32044956  0.51501084
  0.53738201  0.50393273  0.48981548  0.61262866]
[-0.36284865]
[ 0.40375858  0.61632302  0.45059202  0.51038863  0.55488331  0.53919547
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[-0.8578043]
[ 0.35804832  0.51381968  0.65553955  0.38032425  0.47687825  0.38627221
  0.64285183  0.47705152  0.41256945  0.3819051 ]
[-0.26006713]
[ 0.43691505  0.56400501  0.73011252  0.34654326  0.28791001  0.57134397
  0.48192675  0.5158971   0.52842918  0.58116534]
[-0.61119799]
[ 0.42393925  0.66626085  0.39406767  0.47085073  0.60403712  0.38908742
  0.59337726  0.63517591  0.5048273   0.43850143]
[ 0.55090801]
[ 0.41954803  0.54731577  0.45783581  0.50076434  0.51934994  0.44109542
  0.60466083  0.34381389  0.44375654  0.36972105]
[ 0.61384329]
[ 0.51674851  0.61434758  0.34763451  0.52456663  0.54093752  0.33965485
  0.59737189  0.60286405  0.4232205   0.59719095]
[-0.92051352]
[ 0.43546651  0.49993878  0.65622524  0.45346454  0.45334203  0.36477042
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[ 0.28317036]
[ 0.40563411  0.67278845  0.4262121   0.35780367  0.43994676  0.50096169
  0.54354828  0.47176511  0.45979267  0.68618528]
[-0.67133314]
[ 0.41848169  0.52018703  0.65307036  0.33217847  0.33716802  0.55787834
  0.53674785  0.63134392  0.56296604  0.62256948]
[ 0.66085405]
[ 0.52161176  0.66489723  0.42150395  0.56107018  0.44643999  0.44993754
  0.51799688  0.60525004  0.41865117  0.52531065]
[-0.77075103]
[ 0.48802305  0.68463131  0.56934265  0.5401341   0.42985259  0.55818994
  0.46735333  0.5743928   0.3525474   0.44113845]
[ 0.06582576]
[ 0.63543777  0.74170626  0.33837182  0.60762696  0.41273369  0.57592762
  0.51271738  0.44156582  0.38568233  0.57071435]
[-0.18258524]
[ 0.50264922  0.56955322  0.64317599  0.33951076  0.39968646  0.42742122
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[-0.91396324]
[ 0.51299601  0.46591577  0.60907362  0.40111414  0.48654685  0.30113331
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[ 0.14599005]
[ 0.45622114  0.60170152  0.535603    0.49604586  0.47066718  0.50425342
  0.46010008  0.30317519  0.43373914  0.45364526]
[ 0.07899945]
[ 0.50654687  0.62721384  0.58332323  0.35091691  0.6335384   0.55427444
  0.47195927  0.49314978  0.56358105  0.58553115]
[-0.61519605]
[ 0.40042343  0.61066563  0.65513     0.38115205  0.40873141  0.6984559
  0.39110225  0.58394326  0.52697735  0.57453703]
[ 1.17908835]
[ 0.4827534   0.51255849  0.46229816  0.51740365  0.55702273  0.36577519
  0.57556221  0.41001641  0.44560917  0.54398279]
[-0.61576715]
[ 0.54839063  0.55869624  0.58119736  0.43350577  0.37045774  0.41519472
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[ 0.44827694  0.60391665  0.71426511  0.38906446  0.40742696  0.58594541
  0.34239193  0.48802637  0.51662909  0.54617251]
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[ 0.3266229   0.55279676  0.46358096  0.48226429  0.57030107  0.55064476
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[-0.51996927]
[ 0.3751537   0.49481988  0.64507769  0.35129977  0.38462403  0.49477449
  0.55210426  0.51557545  0.53363735  0.45624783]
[-0.14777094]
[ 0.3666855   0.52851886  0.41794296  0.45172254  0.63409707  0.57830555
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[ 0.44833559]
[ 0.55200254  0.62302747  0.50057109  0.50527926  0.49135529  0.3978343
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[-0.54484342]
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[ 0.59620692]
[ 0.48125246  0.64585241  0.49710476  0.4675878   0.66538594  0.3762558
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[ 0.48737729  0.47021357  0.58814646  0.32975617  0.59986536  0.44930532
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[ 1.92871797]
[ 0.3282869   0.607798    0.45315614  0.45464125  0.34423185  0.57430808
  0.51395573  0.6429051   0.50309704  0.57865104]
[ 0.38043851]
[ 0.46305512  0.61674738  0.29730246  0.54749266  0.41949462  0.53006896
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[-0.48103306]
[ 0.45052964  0.59286282  0.47716303  0.49865806  0.31853468  0.65266228
  0.49489128  0.66313098  0.59496825  0.55501228]
[-0.25506402]
[ 0.46508833  0.62153988  0.57522739  0.45720152  0.33246525  0.57674538
  0.48933249  0.63800615  0.53887913  0.5452776 ]
[ 2.25729268]
[ 0.43035352  0.494827    0.68468488  0.42944692  0.52417728  0.43370113
  0.55035078  0.60654662  0.41121886  0.2445318 ]
[ 0.62730614]
[ 0.5000358   0.50963309  0.60106687  0.47362513  0.42869339  0.43815663
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[-0.36909881]
[ 0.40548272  0.46032298  0.61622428  0.44159506  0.393809    0.47608021
  0.51684317  0.37320716  0.4824972   0.57364434]
[ 0.78496924]
[ 0.50446368  0.57769272  0.54364194  0.50150271  0.44679773  0.48134436
  0.62617361  0.3949535   0.4113205   0.55534771]
[ 0.86276062]
[ 0.40897137  0.69094396  0.41317064  0.50841788  0.63799383  0.44734406
  0.5873028   0.49445922  0.30684794  0.49548991]
[ 1.2293993]
[ 0.55120175  0.57872159  0.45175306  0.43031143  0.51652351  0.39964483
  0.56437387  0.53200707  0.49739985  0.37993455]
[ 1.70427006]
[ 0.50037662  0.5765027   0.51113104  0.42633652  0.58063362  0.36784787
  0.71740763  0.58374561  0.30688898  0.51218803]
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[ 0.42081482  0.64725995  0.46610759  0.45767614  0.68467156  0.3887363
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[ 0.46526422  0.51740425  0.50746636  0.52836469  0.59827795  0.35977482
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[ 3.01633143]
[ 0.35337677  0.54778401  0.63648138  0.37285604  0.44353349  0.5425088
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[ 0.4597892   0.55389919  0.48609754  0.45283688  0.71874146  0.29277516
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[ 0.2401391]
[ 0.60209937  0.62658114  0.49178469  0.48923593  0.3854615   0.38155532
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[ 0.50032731]
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[ 0.15783592]
[ 0.29612896  0.54397633  0.40933776  0.5203059   0.43560186  0.68826127
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[ 0.29856773  0.50214776  0.61035608  0.46402047  0.49631934  0.73287736
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[ 0.71299424]
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[ 0.50588571]
[ 0.40696677  0.55260336  0.48152063  0.52154087  0.55711804  0.52807475
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[ 0.57796798]
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[ 0.62720706]
[ 0.45103813  0.45562725  0.70255225  0.42499391  0.33839587  0.61434199
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[ 0.29938372]
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[ 0.39419188]
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[ 0.10921748]
[ 0.484989    0.50243053  0.48756402  0.49878463  0.7212204   0.29641227
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[ 1.23089417]
[ 0.53622677  0.63044723  0.33057515  0.59325104  0.54138241  0.43689931
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[ 1.597739]
[ 0.46819632  0.52178603  0.42598736  0.476271    0.7126357   0.32801128
  0.5656546   0.5232291   0.4589539   0.40940269]
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  0.57477351  0.68087674  0.4531579   0.51009626]
[ 1.22650196]
[ 0.36400127  0.53665926  0.64596842  0.4383988   0.501389    0.60571925
  0.4144389   0.5236467   0.4651096   0.46214406]
[ 1.26495448]
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  0.51519298  0.42079588  0.56211145  0.50547535]
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  0.52184275  0.56828781  0.46034134  0.55847808]
[ 1.98314768]
[ 0.52894002  0.61171272  0.57246729  0.38346387  0.44708592  0.549089
  0.42738343  0.5008453   0.47930149  0.53234669]
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  0.5988835   0.5697902   0.38478492  0.47372448]
[ 0.42078196]
[ 0.44657735  0.49478162  0.46770799  0.47701192  0.55604759  0.47619578
  0.50072502  0.31208502  0.4994918   0.4138662 ]
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[ 0.34904539  0.58383154  0.485993    0.47888065  0.45179955  0.58694325
  0.50980606  0.60106641  0.55898504  0.53482013]
[ 1.04334539]
[ 0.50291466  0.56928137  0.53067298  0.51684377  0.3883965   0.43862426
  0.58412938  0.43332068  0.37701234  0.50675713]
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  0.45996091  0.58979227  0.4847399   0.47659487]
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  0.62247438  0.37752069  0.49863335  0.5346312 ]
[ 1.58475115]
[ 0.45933243  0.59928798  0.38386219  0.50202353  0.63164709  0.26991387
  0.6281532   0.42800959  0.52994986  0.37101368]
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[ 0.37550419  0.30041869  0.69950878  0.45103901  0.37656048  0.3938978
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[ 0.46348031  0.52182196  0.52953384  0.46634889  0.36037519  0.49698839
  0.51119605  0.59961588  0.60903945  0.54887014]
[ 1.39460982]
[ 0.30234872  0.42339793  0.60436286  0.50910035  0.44309602  0.69832909
  0.44172694  0.62216145  0.53307635  0.5296454 ]
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[ 0.38285398  0.45998054  0.67275538  0.30113635  0.52539331  0.38437042
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[ 1.0675968]
[ 0.55218816  0.45064391  0.40797721  0.54575985  0.57267473  0.36352021
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[ 0.50845952]
[ 0.41230906  0.75301592  0.38481171  0.56784734  0.34785204  0.45911518
  0.59422042  0.59099606  0.34990637  0.48151717]
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  0.52324237  0.46982731  0.48253503  0.39176234]
[ 1.18467027]
[ 0.48579092  0.56894342  0.55262011  0.40852121  0.59504983  0.52504142
  0.56587742  0.62961997  0.40895229  0.58094031]
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[ 0.43478244  0.66193017  0.46680553  0.46211771  0.52530448  0.4641021
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[ 0.35985168  0.56850976  0.63340114  0.41652031  0.42404333  0.51195793
  0.52124087  0.52975227  0.46991845  0.42295109]
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[ 0.59511716  0.64874763  0.49764117  0.55126538  0.24806158  0.55426124
  0.5369202   0.56518325  0.41906844  0.63305857]
[ 1.30504922]
[ 0.50222711  0.53120264  0.32648285  0.55640383  0.67060278  0.34342174
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[ 0.5132692]
[ 0.51357676  0.66161155  0.53498445  0.5407634   0.53263602  0.58084386
  0.4521756   0.60653465  0.55414769  0.4615636 ]
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  0.6549015   0.63070732  0.52409499  0.49460968]
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[ 0.2577598]
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[ 1.69312866]
[ 0.55102071  0.50767481  0.49552546  0.44614199  0.57927501  0.49788184
  0.48603721  0.44833941  0.57709697  0.30334427]
[ 0.93876748]
[ 0.5890953   0.4912978   0.5272414   0.41627607  0.46072817  0.34181347
  0.38071645  0.44430975  0.53209821  0.49027786]
[ 2.65961813]
[ 0.47604596  0.62223679  0.47625167  0.48224787  0.54769677  0.38664887
  0.63224318  0.55143864  0.28511091  0.49653489]
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[ 1.6086588]
[ 0.52808409  0.49875535  0.46158322  0.41200826  0.56186226  0.27004799
  0.45013534  0.34411703  0.47702388  0.50320696]
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[ 0.42423227  0.5474526   0.59597464  0.49190406  0.47074553  0.43910887
  0.51728191  0.38564003  0.40977825  0.47332727]
[-0.26044598]
[ 0.4232052   0.61333398  0.39462626  0.53735536  0.45255788  0.61337322
  0.473553    0.68272448  0.54292244  0.4975528 ]
[-1.04047043]
[ 0.54930507  0.56027012  0.69483777  0.4532788   0.44010238  0.4043083
  0.57260182  0.59066812  0.34525041  0.42134194]
[-0.54275362]
[ 0.44436756  0.52303596  0.45402597  0.36941212  0.62034838  0.49117008
  0.58533955  0.56519717  0.59914945  0.36497705]
[ 0.04285175]
[ 0.4898485   0.53702494  0.29007488  0.56458255  0.58052482  0.45830498
  0.63280405  0.45888661  0.51492708  0.48365998]
[-0.81162943]
[ 0.46377754  0.70391611  0.48168991  0.59002134  0.38194176  0.49311548
  0.59384012  0.57248268  0.41541675  0.53699126]
[-0.99246451]
[ 0.5123454   0.5333026   0.3141727   0.57342889  0.54471272  0.33739535
  0.67387981  0.62509387  0.49813951  0.52367739]
[ 0.04240477]
[ 0.60951416  0.61991483  0.5239679   0.53051442  0.41567936  0.46327504
  0.54242015  0.46915537  0.32277224  0.55137502]
Progress: 4.6% ... Training loss: 0.884 ... Validation loss: 1.350[ 1.66086792]
[ 0.58736019  0.5727905   0.39833172  0.57181742  0.4619255   0.52849411
  0.55383188  0.44626364  0.35586194  0.46774164]
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[ 0.59768113  0.52162722  0.70137367  0.31746369  0.51890355  0.42697846
  0.42710298  0.4569966   0.48984538  0.51274196]
[ 0.00736423]
[ 0.56313348  0.69276287  0.2613215   0.59604356  0.60935369  0.46731921
  0.55662742  0.46069439  0.4189429   0.54048392]
[ 3.22017959]
[ 0.48151443  0.56485445  0.71009648  0.43551376  0.48232997  0.47102552
  0.56062016  0.52393676  0.27911215  0.47962309]
[-0.84197487]
[ 0.54651605  0.62021211  0.30588855  0.40266561  0.56666514  0.37800907
  0.70335421  0.62008973  0.47125228  0.58964086]
[-0.01954055]
[ 0.64712031  0.58927062  0.39553006  0.50781765  0.46180274  0.39452263
  0.59892411  0.40110332  0.36098767  0.53018517]
[ 0.43223588]
[ 0.39892227  0.65118944  0.36457876  0.49867915  0.39525405  0.55623623
  0.56414549  0.66568152  0.45909529  0.641143  ]
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[ 0.45128191  0.55119405  0.56956995  0.51200465  0.52548604  0.5952247
  0.4930683   0.5652486   0.55456996  0.4117683 ]
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  0.48546376  0.56427041  0.47961815  0.44277307]
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[-0.82308184]
[ 0.50097906  0.6369395   0.52173648  0.55364191  0.36625572  0.51874304
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[ 0.27727973  0.42054494  0.62577704  0.37862311  0.38586892  0.54800195
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[ 0.49543966  0.59189414  0.48576161  0.42822122  0.4903366   0.41358109
  0.60986123  0.5781665   0.5190353   0.65389342]
[ 0.07759766]
[ 0.47374348  0.53369711  0.30888585  0.59437588  0.49875567  0.43686425
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[-0.97085372]
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  0.64014116  0.51555898  0.36985421  0.54701506]
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[ 0.33423918  0.59913639  0.44347905  0.49368594  0.52298533  0.55353859
  0.47516807  0.61601766  0.48636097  0.51140371]
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[ 0.33949078  0.51374393  0.71962986  0.41919405  0.49156418  0.60366577
  0.44133521  0.52317717  0.32368222  0.43391019]
[ 1.64122867]
[ 0.43949622  0.63939286  0.52070126  0.41849718  0.59520312  0.33873032
  0.68732072  0.6297464   0.37520405  0.59638675]
[ 0.41022482]
[ 0.46212787  0.51342258  0.543829    0.39668716  0.52065418  0.46867459
  0.42657551  0.53113933  0.52798389  0.55453631]
[-0.41410124]
[ 0.27966864  0.54988352  0.67351141  0.35209086  0.31636027  0.4159637
  0.46233844  0.5120834   0.59620783  0.62146353]
[ 1.17770318]
[ 0.46257208  0.5307608   0.56119431  0.42243691  0.59967157  0.32372417
  0.55484866  0.49408394  0.47044938  0.44539377]
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  0.48342938  0.37809037  0.54741839  0.42184417]
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[ 0.47933514  0.55396999  0.604453    0.44019593  0.35951667  0.48806725
  0.5704378   0.70705351  0.37934021  0.54639468]
[ 0.49166389]
[ 0.60476392  0.67293054  0.42996629  0.5295138   0.50237027  0.51041337
  0.54472967  0.51526758  0.50221185  0.5482992 ]
[ 1.2847241]
[ 0.47729153  0.74713476  0.27173407  0.58542647  0.59211026  0.45626248
  0.52884113  0.43190243  0.37549169  0.55411496]
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  0.57253238  0.57791331  0.41933615  0.58168681]
[ 0.09456177]
[ 0.37670103  0.51271891  0.44571452  0.49711214  0.59227658  0.5115635
  0.47769941  0.47946877  0.53618183  0.50197903]
[ 0.7860774]
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  0.47294093  0.34107297  0.41443622  0.50954656]
[-0.45577426]
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[ 1.89206877]
[ 0.44569337  0.55228824  0.63139455  0.44149726  0.41783367  0.48137972
  0.52647251  0.61673665  0.44261594  0.60035316]
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  0.55507959  0.63337024  0.54858209  0.41336006]
[ 1.14123358]
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  0.44015736  0.44068952  0.39722697  0.60787915]
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[ 0.314602]
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[ 3.4145978]
[ 0.51568962  0.68398486  0.34405073  0.55558319  0.55969954  0.28703086
  0.61583769  0.56226582  0.44114087  0.48022678]
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[ 0.08957136]
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  0.5833856   0.62285308  0.47668566  0.5570541 ]
[ 0.59931194]
[ 0.60641048  0.43291385  0.4987653   0.48745491  0.54887589  0.33324015
  0.48186037  0.46536868  0.49178678  0.50787292]
[-0.72680001]
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[ 1.42222041]
[ 0.51090406  0.62138304  0.52894181  0.47105702  0.56985606  0.31784461
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[ 0.7946805]
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[ 0.58289876]
[ 0.50261472  0.58229026  0.46147258  0.51487498  0.63436586  0.37113965
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[ 1.10910452]
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[ 0.28982919]
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[ 1.40991958]
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[ 0.94531253]
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[ 0.77039958]
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[-0.81945874]
[ 0.30445713  0.48863097  0.65577843  0.46676612  0.39015053  0.49806923
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[ 0.55048743]
[ 0.3916262   0.589008    0.57853767  0.4421453   0.42587633  0.4541358
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[-0.8805492]
[ 0.47257899  0.59348387  0.66267354  0.52538296  0.40439415  0.54282245
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[ 0.16832699]
[ 0.34844777  0.40480493  0.67488723  0.3520804   0.51387403  0.39303639
  0.68825841  0.58107786  0.39322092  0.58115463]
Progress: 4.9% ... Training loss: 0.881 ... Validation loss: 1.342[-0.36128025]
[ 0.49124738  0.6584022   0.45307336  0.50938771  0.37014265  0.48166599
  0.66571084  0.79777045  0.48410459  0.65386054]
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  0.48751513  0.60555426  0.33616315  0.44017227]
[ 3.4256884]
[ 0.5835468   0.58330202  0.49535836  0.41438239  0.65308473  0.41134915
  0.6151817   0.46541875  0.34055122  0.4444834 ]
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  0.47185845  0.555495    0.61209083  0.62738029]
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[-1.00349425]
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[ 0.0922877]
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  0.59278892  0.51902987  0.38140983  0.57592329]
[ 0.74708664]
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  0.45701011  0.36517511  0.49502077  0.55113941]
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  0.55939107  0.44856626  0.45664593  0.52302108]
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[ 2.19969425]
[ 0.40220958  0.57792078  0.46351823  0.38081914  0.60813795  0.41211881
  0.64602137  0.63670612  0.44821016  0.57209426]
[ 1.96576082]
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[ 0.45926543]
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[ 1.66612889]
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[ 0.5888674]
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[ 1.91441302]
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[ 1.32375635]
[ 0.53510931  0.62689852  0.35163208  0.51401795  0.6091563   0.39405836
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[ 0.32645097  0.45378335  0.71029746  0.34070415  0.31527172  0.36016189
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[ 0.12191379]
[ 0.53489575  0.60914414  0.50136639  0.49070129  0.5355779   0.45382888
  0.51444424  0.70273804  0.452549    0.50164934]
[-0.62291935]
[ 0.42309733  0.58281075  0.69033441  0.3002937   0.51360166  0.39967708
  0.5975736   0.57222567  0.42383834  0.51954465]
[-0.01927886]
[ 0.45697668  0.64419234  0.38092102  0.47826876  0.57314355  0.44717985
  0.7125067   0.51359105  0.42705012  0.55617958]
[-0.09187249]
[ 0.44445668  0.51961605  0.66383564  0.35453871  0.53175899  0.41830111
  0.46064427  0.41802366  0.46765604  0.49633574]
Progress: 5.1% ... Training loss: 0.878 ... Validation loss: 1.340[-0.96647026]
[ 0.55647127  0.57079075  0.50693867  0.61735083  0.44046223  0.54325721
  0.51823359  0.44580495  0.47993854  0.43366894]
[ 0.15594161]
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[ 0.17351537]
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[ 0.2735116]
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[ 0.34389076]
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[ 1.38816763]
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[ 0.98650935]
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[ 1.21992522]
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[-0.45907069]
[ 0.42992161  0.55267028  0.56503427  0.40982048  0.50522728  0.43153456
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[ 1.55894153]
[ 0.49947599  0.52412495  0.57314662  0.42276149  0.64805886  0.23455716
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[-0.66342474]
[ 0.45178581  0.57055145  0.56040469  0.48134936  0.35693728  0.51563988
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[ 0.45661919  0.63223236  0.47347039  0.50790589  0.65252779  0.32203653
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[-0.88836625]
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[ 0.20632268]
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[ 1.42956567]
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[ 0.24554753]
[ 0.32461063  0.43438073  0.58779656  0.46430185  0.46573294  0.45304349
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[-0.33015853]
[ 0.43127279  0.5462671   0.6173847   0.36389123  0.51524898  0.41435923
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[ 3.46660532]
[ 0.43007088  0.73052183  0.443121    0.52896228  0.48033126  0.34561905
  0.61574323  0.63597622  0.36784511  0.51165894]
[ 1.10906197]
[ 0.44785537  0.67334417  0.44301103  0.40298235  0.565713    0.48757675
  0.56471368  0.74746471  0.45827602  0.56208663]
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[ 0.46390082  0.61395969  0.57243199  0.46345941  0.55440271  0.42707255
  0.56314257  0.60716422  0.39674251  0.30995276]
[-0.8116419]
[ 0.48005123  0.50710565  0.62164845  0.50521854  0.48476071  0.43136341
  0.50201571  0.61455299  0.42735923  0.43954165]
[ 2.28464103]
[ 0.41015426  0.53887903  0.59929209  0.50264184  0.30582323  0.54903193
  0.59638323  0.65910204  0.45736729  0.51107191]
[-0.94143041]
[ 0.34812652  0.46886033  0.6703662   0.44544958  0.55438207  0.41609693
  0.50377852  0.52472515  0.45216781  0.49679416]
[ 0.57057211]
[ 0.46991699  0.67496919  0.55003949  0.53662255  0.50904825  0.53005693
  0.46198204  0.56650865  0.33559104  0.5353858 ]
[-0.24677905]
[ 0.64083384  0.67690942  0.3472726   0.53669686  0.58960154  0.43137185
  0.48455173  0.48229078  0.44687408  0.3829338 ]
[-0.78513261]
[ 0.41943766  0.50665217  0.52849289  0.50970523  0.47300598  0.67053106
  0.44247143  0.66257317  0.56675086  0.55033915]
[ 0.33620016]
[ 0.63673652  0.64974762  0.3339748   0.54224681  0.6446852   0.49917638
  0.54046258  0.40276083  0.55193259  0.36611691]
[ 0.78044842]
[ 0.60751162  0.50738708  0.40197529  0.52348066  0.61429435  0.34200178
  0.48549244  0.46773904  0.48447816  0.42212011]
Progress: 5.4% ... Training loss: 0.875 ... Validation loss: 1.335[-0.85874846]
[ 0.38708798  0.47110451  0.54687521  0.38650982  0.57741333  0.35162595
  0.4556391   0.52974511  0.49354044  0.54027744]
[-0.14078097]
[ 0.51353248  0.5986192   0.61474029  0.33907774  0.32621901  0.3384851
  0.64283046  0.50208752  0.33157705  0.68566708]
[ 0.71103381]
[ 0.38872647  0.59552319  0.37839255  0.49215244  0.5547526   0.35667459
  0.59595186  0.45664679  0.38562337  0.51098908]
[-0.87890712]
[ 0.4875441   0.62935302  0.60671189  0.35331165  0.43673986  0.42406287
  0.49437686  0.65575938  0.59667992  0.5189875 ]
[ 0.53741002]
[ 0.5036112   0.53131691  0.5932961   0.38746183  0.53321049  0.40504804
  0.45633751  0.41118309  0.52920833  0.56037339]
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[ 0.44837756  0.56693182  0.41967668  0.37707245  0.6285702   0.49221063
  0.52354095  0.45097447  0.58744824  0.40305233]
[-1.00393092]
[ 0.64807674  0.57619047  0.42662789  0.58958043  0.48923503  0.48650196
  0.52837395  0.45099203  0.48666684  0.46586545]
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[ 0.36531923  0.49999274  0.71282845  0.28884038  0.43739285  0.40983518
  0.67889171  0.62197044  0.41824078  0.65318819]
[ 0.15795159]
[ 0.45182295  0.5330705   0.44197595  0.52140859  0.54193118  0.51735727
  0.54063884  0.63582239  0.55139768  0.53095289]
[ 0.40970704]
[ 0.46796333  0.66701062  0.33895968  0.53014423  0.42415385  0.49638523
  0.53534486  0.52481199  0.42856711  0.69847622]
[-0.67741302]
[ 0.46258074  0.49591118  0.48155644  0.46397231  0.6416138   0.28196377
  0.61855693  0.51592751  0.39516817  0.43386629]
[-0.80330352]
[ 0.32864664  0.51869273  0.6321473   0.5236272   0.47124327  0.61170185
  0.51473823  0.55382217  0.45839748  0.51540978]
[-0.51371293]
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  0.58610973  0.68238243  0.59370888  0.42002905]
[-0.63777268]
[ 0.42211135  0.63154923  0.40057342  0.63276864  0.38879431  0.51894887
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  0.55941255  0.67566583  0.62323908  0.53933604]
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  0.56570302  0.61755706  0.54909358  0.57688994]
[ 1.61958959]
[ 0.63800132  0.62413418  0.47153046  0.43191066  0.54669986  0.39989082
  0.6484873   0.57526845  0.31815738  0.55597432]
[-0.80403937]
[ 0.40008508  0.61750561  0.47774754  0.43479113  0.58015378  0.52628461
  0.46378317  0.64996804  0.51691001  0.59509528]
[ 0.62387282]
[ 0.52037501  0.52218369  0.41326844  0.54241005  0.59127019  0.30061167
  0.61965562  0.47387337  0.50855912  0.46249316]
[ 1.02314593]
[ 0.52486186  0.50273754  0.33574562  0.53351368  0.6525964   0.22320268
  0.63421706  0.36012861  0.52323244  0.44845175]
[-0.45074768]
[ 0.57448948  0.56903969  0.58153234  0.38038821  0.31841971  0.42043179
  0.48768551  0.58328831  0.53984247  0.56293103]
[ 1.13101384]
[ 0.40086023  0.53205498  0.40609314  0.47353015  0.61819024  0.42614351
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[-0.7348086]
[ 0.48302089  0.57848752  0.63784622  0.4181732   0.37052874  0.5378603
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[ 0.72931844]
[ 0.58153883  0.54240111  0.43693261  0.47874192  0.54958215  0.31769519
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[ 0.03332437]
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  0.51057537  0.55247062  0.48753536  0.41671439]
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[ 0.00950634]
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[ 0.43643694]
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[ 0.72741929]
[ 0.44494495  0.6345314   0.45443523  0.5824943   0.40289026  0.45929129
  0.5266761   0.43049449  0.42442708  0.58345275]
[-0.92066295]
[ 0.45828065  0.54482118  0.48865937  0.55845947  0.5560847   0.54326994
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[-0.84373688]
[ 0.55627684  0.37366395  0.61567958  0.4437954   0.40988624  0.42864266
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[ 2.35229861]
[ 0.45220893  0.61184925  0.41408867  0.49541878  0.70708323  0.34193732
  0.54741977  0.57396315  0.4615082   0.44501893]
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  0.53956962  0.41443622  0.50994507  0.44630494]
[ 2.0704729]
[ 0.46436661  0.43906864  0.57841253  0.42940058  0.69074997  0.35723822
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[ 3.20327092]
[ 0.50934684  0.60256724  0.40296439  0.41493315  0.67723829  0.37932076
  0.61391721  0.48671141  0.42300633  0.48065691]
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[ 0.2922699   0.56167375  0.60337862  0.42045037  0.39899979  0.6155525
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[ 0.55474337  0.5511804   0.5509599   0.58822957  0.45276366  0.6004966
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[-0.56175573]
[ 0.43663971  0.47481136  0.54820995  0.46552266  0.48857539  0.4384758
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[ 0.30289127]
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[ 0.08243587]
[ 0.4140263   0.46216043  0.51889016  0.51910626  0.45592082  0.44279218
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[ 0.40228095]
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[ 0.00626437]
[ 0.38664895  0.59715758  0.55038418  0.45589668  0.41271974  0.48770628
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[ 2.01495967]
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[ 0.91790073]
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[ 0.32157747]
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[ 0.77607275]
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[ 0.23745109]
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[ 0.88817645]
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[ 3.01254259]
[ 0.32976631  0.45194961  0.46371423  0.4222186   0.62496301  0.39003851
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[ 0.0180139]
[ 0.48861777  0.58274967  0.65294993  0.43988663  0.27510314  0.64372609
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[ 0.56685625]
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[ 0.20834828]
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[ 0.09873139]
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[ 0.49919645  0.58639566  0.52533793  0.47002592  0.49835684  0.59022291
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[ 0.94082926]
[ 0.51709924  0.67155728  0.53334322  0.41409797  0.42531806  0.46529276
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[ 0.45663835]
[ 0.31567432  0.51710513  0.63673272  0.42328991  0.35199129  0.54536091
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[ 0.56817715  0.51032469  0.57312025  0.58248394  0.52323668  0.49377372
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  0.56492834  0.62602767  0.35517336  0.41662206]
[ 0.40434307]
[ 0.66476863  0.60892239  0.38012691  0.46816413  0.80077056  0.31899999
  0.68095844  0.46237108  0.51455959  0.41686013]
[ 1.6568805]
[ 0.55293449  0.51172566  0.49421405  0.44338501  0.58363917  0.49640634
  0.48737467  0.44684744  0.57411105  0.30090106]
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[ 0.51229362  0.60651779  0.59583985  0.47178542  0.43170349  0.55607263
  0.48486945  0.48756657  0.48229345  0.57954062]
[ 2.05991528]
[ 0.64269     0.5647257   0.51585311  0.54649709  0.5990818   0.37712764
  0.57942624  0.49597918  0.39153784  0.41084221]
[ 0.21156495]
[ 0.5709118   0.59980963  0.50115535  0.46575526  0.35035883  0.48800895
  0.42184158  0.41327333  0.43032194  0.64225574]
[ 2.92624116]
[ 0.4487416   0.68772151  0.55160366  0.4705945   0.3112406   0.4162321
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[ 0.31234869  0.56269907  0.52965906  0.44206804  0.43650234  0.48130507
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[ 0.52257941  0.59214469  0.48122451  0.52449531  0.5231837   0.34224014
  0.6717486   0.40928873  0.39327394  0.47785561]
[ 0.81460198]
[ 0.55538243  0.55647215  0.43369167  0.54857755  0.60489992  0.61369762
  0.47352596  0.42124212  0.51789595  0.45721621]
[ 2.8056171]
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  0.39966024  0.44566554  0.5184346   0.49789355]
[ 0.30545905]
[ 0.48589678  0.58871351  0.50968408  0.38901827  0.5390906   0.41337756
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[ 3.12006192]
[ 0.39087942  0.45955643  0.58559245  0.4309342   0.51558471  0.57102673
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[ 0.55600655  0.58286793  0.52799097  0.47678115  0.52888387  0.46400872
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[ 0.0918549]
[ 0.5407028   0.55909547  0.34589154  0.54811075  0.49452291  0.59621016
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[ 0.10940611]
[ 0.44747771  0.54318965  0.50143819  0.54546988  0.48350129  0.53441575
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[ 0.64307851  0.56859484  0.4158142   0.53156148  0.48153074  0.33714083
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  0.53699241  0.49928125  0.50005811  0.59900772]
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[ 0.49005712  0.58594371  0.52948818  0.44308005  0.5445872   0.44105489
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[ 0.59662444  0.54312539  0.5384277   0.42947602  0.47070132  0.46401788
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[-0.47219374]
[ 0.39757187  0.5706987   0.60269068  0.31627765  0.43536961  0.52488337
  0.50804921  0.56534419  0.48483012  0.60291545]
[-1.14177888]
[ 0.59704121  0.5277028   0.46364173  0.4986219   0.6283538   0.45422009
  0.62859621  0.4306525   0.4749188   0.43876294]
[ 1.88860969]
[ 0.41273523  0.54527972  0.52982546  0.46490467  0.43970812  0.46438874
  0.55017762  0.63799784  0.38549539  0.60250043]
[ 1.96350191]
[ 0.51336389  0.59015688  0.34916463  0.507801    0.67196718  0.2696786
  0.60918997  0.43911249  0.45214729  0.44748376]
Progress: 5.7% ... Training loss: 0.872 ... Validation loss: 1.340[ 0.19076679]
[ 0.63607536  0.58994652  0.44854546  0.52118969  0.47194655  0.42105494
  0.59552336  0.455171    0.35671298  0.57496744]
[ 2.27240815]
[ 0.44242815  0.52493928  0.39497293  0.4989321   0.53787673  0.48203375
  0.47386394  0.62729104  0.46278086  0.53545906]
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[ 0.51259651  0.52000136  0.52697505  0.44566757  0.38582118  0.44376316
  0.56397367  0.55126468  0.45751486  0.62769469]
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[ 0.52488704  0.68956191  0.59368128  0.44809823  0.40238736  0.34742657
  0.63240757  0.52062102  0.32757773  0.51346693]
[ 1.47462006]
[ 0.4579864   0.67700513  0.33317768  0.49199442  0.53967052  0.28434035
  0.62879714  0.61319274  0.37123115  0.58582553]
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[ 0.58536201  0.52108709  0.55607698  0.52581842  0.43774528  0.55366777
  0.54621996  0.42853606  0.45819466  0.46317692]
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[ 0.37167508  0.48475202  0.61733035  0.32772145  0.5115507   0.44642327
  0.69166293  0.60933602  0.42728103  0.64953066]
[ 1.03517974]
[ 0.46790226  0.62954804  0.53626573  0.35575397  0.53489714  0.53744379
  0.50887584  0.52219913  0.4092803   0.69429454]
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[ 0.47025743  0.53099796  0.51035299  0.47979614  0.47430748  0.44334961
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[ 0.24113284]
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  0.53374036  0.40802604  0.35789604  0.58187357]
[-1.07491612]
[ 0.5036408   0.59004787  0.56413831  0.41122619  0.52563051  0.40622432
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[ 0.09938179]
[ 0.49549845  0.56689466  0.44144465  0.52811635  0.48166288  0.52405868
  0.50674775  0.40975059  0.56553638  0.3787352 ]
[ 1.39539588]
[ 0.54299002  0.55661049  0.46480359  0.48050836  0.49670185  0.34985142
  0.50322404  0.46472182  0.38581598  0.4613432 ]
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[ 0.71446997]
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[ 0.99407411]
[ 0.44837819  0.58539528  0.70186681  0.4523466   0.57354384  0.5111627
  0.53999708  0.48869657  0.3987576   0.44983011]
[ 0.13843861]
[ 0.50877506  0.56867881  0.40698473  0.48902904  0.53052716  0.34729625
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[ 0.3438096   0.61970667  0.53738388  0.45342864  0.4476401   0.49313808
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[ 0.49099969  0.57228842  0.55268589  0.42147444  0.35262048  0.41069337
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[ 1.51799642]
[ 0.37048815  0.6005609   0.50700494  0.5852609   0.45141551  0.46000098
  0.52687599  0.31352205  0.41762187  0.44887131]
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[ 0.56083703  0.56384901  0.45836867  0.56444442  0.48613219  0.56780342
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[-0.31035507]
[ 0.36243518  0.34705241  0.67607677  0.45342563  0.38937522  0.57500143
  0.53564913  0.4390993   0.46178595  0.55086141]
[ 2.81871278]
[ 0.39245907  0.45769127  0.57504866  0.43141669  0.52727309  0.56501321
  0.44704028  0.4037067   0.47739734  0.42175444]
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[ 0.56325281  0.49412967  0.30947181  0.60361639  0.54725324  0.3628466
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[ 0.12666962]
[ 0.43997951  0.69173048  0.47901196  0.46404115  0.6605148   0.41575109
  0.59751054  0.43091566  0.33711472  0.40801879]
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[ 0.1886837]
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[ 0.6583443]
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[ 0.45283505]
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[ 0.33411474]
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[ 0.60853986]
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[ 0.78644408]
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[ 0.39676294]
[ 0.48530352  0.60932888  0.42550912  0.46413476  0.55838238  0.38470648
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[ 0.46960219  0.67518992  0.39780113  0.4549668   0.70567456  0.53564294
  0.50046006  0.514691    0.40483111  0.39110398]
[ 3.21869841]
[ 0.51950966  0.51613807  0.51908781  0.42068607  0.46733644  0.36425611
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[ 0.02106307]
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[ 0.95775449]
[ 0.45625626  0.59440324  0.39151129  0.49919855  0.61965357  0.37072232
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[ 0.20288125]
[ 0.3076216   0.58198668  0.39100887  0.4863613   0.42225293  0.59558923
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[ 2.49302161]
[ 0.53036275  0.5845905   0.39429006  0.482038    0.63704174  0.23876985
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[ 0.57339679]
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[ 0.53799445]
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[ 0.21814944]
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[ 0.60285753]
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[ 1.32866634]
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[ 1.48553591]
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[ 1.33003395]
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[ 2.65916106]
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[ 1.18011883]
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[ 2.94000523]
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[ 0.23102203]
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[ 1.04091205]
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[ 0.58570139]
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[ 0.25747295]
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[ 3.61429429]
[ 0.47778961  0.56502783  0.44212431  0.47173579  0.5799397   0.38783428
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[ 3.51650347]
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[ 0.20170806]
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[ 0.23656018]
[ 0.60946938  0.62745879  0.48654247  0.52477048  0.38245397  0.48846518
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[ 0.49145596  0.61717288  0.48732014  0.38496588  0.46395791  0.46048599
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[-0.44906839]
[ 0.33175842  0.54493122  0.57518045  0.51278386  0.31589794  0.52108854
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[ 0.38908656  0.60707439  0.45049422  0.52106726  0.60080759  0.44178436
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[ 0.31850513  0.51145262  0.60730315  0.42985332  0.40462997  0.33213716
  0.68507612  0.60889973  0.47600225  0.44190812]
Progress: 6.0% ... Training loss: 0.869 ... Validation loss: 1.318[ 0.31325889]
[ 0.31715421  0.49399771  0.66287883  0.39208241  0.46168402  0.47604701
  0.54353478  0.5067888   0.59677954  0.40440539]
[ 0.52768346]
[ 0.38917073  0.58379634  0.58022493  0.44578354  0.41983189  0.45615703
  0.66371581  0.74086224  0.43415379  0.6297366 ]
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[ 0.49155814]
[ 0.3286621   0.62054515  0.49254217  0.50601267  0.60767561  0.29388133
  0.62889797  0.49555943  0.41243687  0.5127146 ]
[ 2.43305309]
[ 0.47694151  0.60457445  0.48929617  0.39307917  0.55121696  0.22099582
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[ 0.29055401]
[ 0.50493926  0.68350797  0.49583641  0.57889017  0.46142776  0.6207865
  0.54787015  0.57707194  0.38955016  0.5273369 ]
[ 0.23198835]
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[ 0.32803954]
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  0.57619162  0.3073205   0.51991813  0.46162039]
[ 2.95703462]
[ 0.40174952  0.57457162  0.65460471  0.43296713  0.49509413  0.4498957
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[ 0.76275425]
[ 0.52635547  0.61844988  0.60237098  0.37700237  0.73252568  0.37129571
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[ 0.25797955]
[ 0.40252942  0.62889587  0.49408689  0.43635258  0.551635    0.62792061
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[ 1.29763141]
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  0.52375047  0.46952972  0.46385036  0.4830813 ]
[ 0.70642031]
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[ 0.50689765]
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[ 0.17992686]
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  0.5311817   0.45416225  0.48041316  0.52519246]
[ 0.10637836]
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[ 0.53762895]
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[ 0.35931377]
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[ 1.44726667]
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[ 2.93501991]
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[ 1.07381732]
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[ 0.31709073]
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[ 3.04897697]
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[ 0.18777374]
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[ 0.24290072]
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[ 0.3192051]
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[ 2.97024404]
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[ 0.25124265]
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[ 0.68891579]
[ 0.50138001  0.48777563  0.40008449  0.44057229  0.73145002  0.18221237
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[ 0.66727898]
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[ 0.53467656  0.69675229  0.53198296  0.52138349  0.47668158  0.405997
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[-0.70521261]
[ 0.53110439  0.50486949  0.45628214  0.46709037  0.62043362  0.42196737
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[-0.62184286]
[ 0.51559089  0.59637767  0.47746581  0.53430219  0.28526416  0.55379999
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[-0.18265122]
[ 0.48379201  0.55482986  0.48606052  0.52409745  0.67196341  0.37815645
  0.59343418  0.49575168  0.41154092  0.52353599]
Progress: 6.3% ... Training loss: 0.866 ... Validation loss: 1.313[-0.82535866]
[ 0.42476283  0.48942896  0.56472006  0.47363647  0.66079163  0.25936635
  0.59876738  0.50020694  0.42889517  0.42325984]
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[-0.49774816]
[ 0.39506679  0.5426788   0.7737731   0.23686584  0.46413682  0.48434158
  0.5158149   0.49994802  0.519685    0.56070889]
[ 0.12044875]
[ 0.51895496  0.60692453  0.54979973  0.41146948  0.47579337  0.43278753
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[ 0.31673589]
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  0.64199385  0.53489371  0.45054409  0.36455895]
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  0.53206813  0.5969001   0.30522378  0.40163121]
[ 1.36214689]
[ 0.51811693  0.5504734   0.42808128  0.54380699  0.52426646  0.36120001
  0.56151529  0.53747749  0.4709362   0.61822542]
[-0.83531377]
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[ 0.07353627]
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[ 0.44812767]
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[ 0.09370908]
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[ 0.55767564]
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[ 0.01163335]
[ 0.48954645  0.58570651  0.4833814   0.40785724  0.58440444  0.41578948
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[ 2.56341006]
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[ 0.55245207  0.62352823  0.41325312  0.56433968  0.65329428  0.30964315
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[ 0.37213984  0.55080697  0.5644702   0.47912423  0.52017927  0.52405628
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[ 0.2969546   0.36900085  0.73466979  0.3389997   0.33907813  0.41390372
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[ 0.13674384]
[ 0.58610791  0.48244142  0.49222498  0.53095651  0.62139809  0.37979277
  0.47091231  0.52359965  0.48567739  0.46296526]
Progress: 6.6% ... Training loss: 0.862 ... Validation loss: 1.316[ 1.34797613]
[ 0.40439756  0.51654766  0.47959758  0.53327602  0.42987353  0.62825513
  0.47233699  0.63361363  0.53987111  0.48480462]
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[ 0.77936041]
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[ 0.43222817]
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[ 2.44601826]
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[ 0.39416953]
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[ 0.99822751]
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[ 0.05369196]
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[ 0.0399877]
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[ 2.6725806]
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[ 1.25396274]
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[ 0.43800808]
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[ 0.31899968]
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[ 0.9885719]
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[ 1.06365458]
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[ 2.65852855]
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[ 0.43111837]
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[ 0.95247483]
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[ 1.74129002]
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[ 0.65740707]
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[ 0.19017902]
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[ 0.74589766]
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[ 0.12295262]
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[ 0.92995768]
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[ 2.39520451]
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[ 0.1959365]
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[ 2.72656607]
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[ 1.62421472]
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[ 1.51168023]
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[ 1.10044425]
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[ 0.27770293]
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[ 2.51099214]
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[ 1.54000716]
[ 0.47089966  0.53842319  0.44330165  0.49952357  0.56579951  0.49374071
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[ 0.43939939  0.55399639  0.55092176  0.47388352  0.48002361  0.3619368
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[ 2.24487142]
[ 0.53293662  0.55228645  0.5222524   0.39096124  0.68389012  0.45407031
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[-1.05531496]
[ 0.46427796  0.67586559  0.50311454  0.46410618  0.44146791  0.44900428
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[ 0.4552479   0.48222719  0.65831901  0.33788542  0.59594747  0.50221247
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[ 0.58630278  0.61441709  0.59946902  0.4656529   0.43532444  0.37151056
  0.51783948  0.501713    0.41081958  0.46141343]
Progress: 6.9% ... Training loss: 0.862 ... Validation loss: 1.298[-1.1277044]
[ 0.40250276  0.53914705  0.56106492  0.37385345  0.66224239  0.4036712
  0.66246311  0.51658591  0.42259846  0.50527454]
[ 0.97254599]
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[ 1.882301]
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[ 0.51157077]
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[ 0.55632767]
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[ 0.90394225]
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[ 0.25061077]
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[ 1.63738743]
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[ 0.29343597]
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[ 0.31607954]
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[ 0.04506866]
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[ 1.27630787]
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[ 0.08594029]
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[ 0.04824903]
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[ 1.10294702]
[ 0.61754697  0.652553    0.46552619  0.4656627   0.60632792  0.3327881
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[ 1.08648452]
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[ 0.02827223]
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[ 0.41195662]
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[ 0.70002652]
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[ 1.99432032]
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[ 0.64334404]
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[ 1.40727668]
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[ 0.40921241]
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[ 1.25297341]
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[ 0.20187059]
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[ 0.0098853]
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[ 0.08755617]
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[ 0.08679754]
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[ 1.1323014]
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[ 1.07763723]
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[ 1.5771176]
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[ 0.80933475]
[ 0.32397311  0.51502067  0.45556974  0.44662201  0.47357617  0.4322985
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[ 2.06471387]
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[ 2.11089413]
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[ 1.06832033]
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[ 0.1270567]
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[ 0.55094417  0.6359004   0.36002347  0.50637107  0.63641354  0.38440157
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[ 0.53808338]
[ 0.43093087  0.59171472  0.47410955  0.46994245  0.50162002  0.50225742
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[ 0.1375395]
[ 0.53663696  0.50743549  0.44014421  0.53767368  0.51561495  0.48016872
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[-0.46314756]
[ 0.39723063  0.53474243  0.57514973  0.49774769  0.62927638  0.29906426
  0.64663343  0.49441821  0.3749472   0.43754659]
[ 0.61680347]
[ 0.46565129  0.70888766  0.31843862  0.41714764  0.61427534  0.41423745
  0.47656389  0.54036652  0.45461362  0.54697134]
[ 1.74697395]
[ 0.52375282  0.6832039   0.36785985  0.49398923  0.68199802  0.30650713
  0.63817501  0.50972773  0.39145449  0.48707667]
[ 0.50330894]
[ 0.41968175  0.52670306  0.31441633  0.50635093  0.67117662  0.44365338
  0.65640149  0.31383983  0.38590539  0.34311656]
Progress: 7.1% ... Training loss: 0.857 ... Validation loss: 1.311[-0.68679962]
[ 0.41176493  0.44812157  0.59156992  0.53398965  0.33452223  0.44491294
  0.56503999  0.72244901  0.52059149  0.63523055]
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[ 1.06414775]
[ 0.36359724  0.54645437  0.47195927  0.50978232  0.49960942  0.56794429
  0.4428762   0.54611594  0.52090585  0.62304608]
[ 0.11788295]
[ 0.39044737  0.57886702  0.63268723  0.36987819  0.47277299  0.48622446
  0.57582036  0.57771661  0.43481339  0.62341595]
[ 1.16241081]
[ 0.35392975  0.55299172  0.55492269  0.35384771  0.6578385   0.48165104
  0.44441062  0.37579244  0.38955756  0.45556556]
[-0.38889665]
[ 0.50085535  0.69095752  0.49701719  0.54609693  0.31335835  0.57978995
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[ 0.1392641]
[ 0.47152813  0.58797364  0.48402112  0.45835661  0.46556444  0.4658612
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[-1.07502868]
[ 0.52142215  0.63149816  0.46648756  0.54277974  0.62345198  0.41268041
  0.65394339  0.53846639  0.44270001  0.3574371 ]
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[ 0.03828469]
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  0.59458925  0.6409753   0.50650134  0.52182606]
[-0.91589766]
[ 0.3571177   0.52514342  0.67004848  0.34364042  0.50462952  0.45921423
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[-0.43682846]
[ 0.52332684  0.56454172  0.50671161  0.52512695  0.42632687  0.57915194
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[ 2.33159783]
[ 0.46225014  0.42738242  0.4947931   0.49568338  0.61624896  0.28916037
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[-1.02997612]
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[ 0.66075597]
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[ 0.51518818  0.6317372   0.53018641  0.49445898  0.26393253  0.60890168
  0.42300098  0.47567219  0.57974746  0.67642804]
[ 0.09626541]
[ 0.22678064  0.39791523  0.66441815  0.38973726  0.44850617  0.45469238
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[-0.82245112]
[ 0.50024831  0.45716937  0.57758741  0.48848401  0.62968862  0.35934313
  0.51512824  0.63883696  0.50326495  0.3931532 ]
[-0.94722593]
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[ 0.54484319]
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  0.49839351  0.53397544  0.46090208  0.58960384]
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[ 0.46275404  0.57761456  0.52473721  0.5193384   0.32868086  0.52723113
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[-0.66050761]
[ 0.49962252  0.52916096  0.46414316  0.57960384  0.51555446  0.58424754
  0.4878341   0.54176616  0.54457677  0.54561977]
[ 0.66655083]
[ 0.40551624  0.71019186  0.43884662  0.4653946   0.55835514  0.44648697
  0.57604639  0.61627601  0.44979439  0.51459544]
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[-1.02997612]
[ 0.54198389  0.53979553  0.49458217  0.46165024  0.61795967  0.42169641
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[ 2.03399466]
[ 0.40636645  0.58308707  0.41100207  0.50083337  0.58098034  0.39511753
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[ 0.52326494]
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  0.5518161   0.41003178  0.48763189  0.58397411]
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[ 0.5774641]
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[ 1.56472441]
[ 0.49100246  0.48852259  0.42937116  0.45058387  0.60177866  0.39890304
  0.4729304   0.41945121  0.50916023  0.49122511]
[ 2.03399466]
[ 0.40636645  0.58308707  0.41100207  0.50083337  0.58098034  0.39511753
  0.50618248  0.56805034  0.44695146  0.50157436]
[-0.52457813]
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[ 0.76269877]
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[ 1.07944018]
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[ 0.37815262]
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[ 2.97940393]
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[ 2.97065778]
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[ 0.93763025]
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[ 0.11534314]
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[ 0.19727768]
[ 0.44900266  0.63440327  0.58121704  0.47565061  0.29259084  0.56477978
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[ 0.07569102]
[ 0.52039299  0.64434754  0.42254941  0.3522062   0.56505377  0.34445786
  0.53620726  0.36576295  0.4050233   0.43650672]
[ 2.68446743]
[ 0.57803389  0.64761121  0.44319723  0.53843665  0.58090969  0.37866468
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  0.47214693  0.6195689   0.51423884  0.62211525]
Progress: 7.4% ... Training loss: 0.853 ... Validation loss: 1.318[-0.0577805]
[ 0.52067739  0.53056448  0.48245192  0.41818959  0.68633276  0.4181991
  0.56032375  0.54314361  0.54359972  0.53788518]
[ 0.1541748]
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[ 0.91458188]
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[ 1.28739879]
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[ 0.38921195  0.5201783   0.53635707  0.52402277  0.52940985  0.45161153
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[ 0.53057748  0.64102486  0.45921908  0.48760763  0.55338465  0.35205517
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[ 0.01356987]
[ 0.49536504  0.63568189  0.53448349  0.43335821  0.41587772  0.48213207
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[ 0.78581627]
[ 0.57473508  0.77233996  0.31865569  0.556723    0.48509768  0.36723701
  0.57078589  0.57951302  0.3251207   0.49723905]
Progress: 7.7% ... Training loss: 0.850 ... Validation loss: 1.318[-0.81707689]
[ 0.45975096  0.50391663  0.61375893  0.45251764  0.6787246   0.51343297
  0.58900938  0.42728445  0.42328779  0.41206246]
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[ 0.69545585]
[ 0.58365741  0.63769191  0.41126354  0.53029256  0.47001482  0.39739769
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[ 1.62986837]
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[ 0.6641668]
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[ 0.11906402]
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[ 0.10494917]
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[ 0.51854096]
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[ 0.11272439]
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[ 3.42457838]
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[ 0.64940607]
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[ 0.2559919]
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[ 0.10648523]
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[ 1.68059657]
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[ 0.56479173]
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[ 1.78629025]
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[ 0.31804802]
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[ 1.61558673]
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[ 1.72565817]
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[ 0.32130119  0.56885258  0.47178178  0.44395505  0.48542723  0.45435862
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[ 0.07922022]
[ 0.39390991  0.59742005  0.32447281  0.53450859  0.51151518  0.51424823
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[ 3.04952097]
[ 0.36871929  0.6060857   0.53299851  0.44655722  0.34216582  0.5667362
  0.43904046  0.44097375  0.43089713  0.60310977]
[ 1.24500613]
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[ 0.50138293]
[ 0.60231308  0.61665684  0.36266968  0.54747467  0.56828022  0.39092464
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[ 2.3991724]
[ 0.43382259  0.51542292  0.3787724   0.46472181  0.63168482  0.37084617
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[ 0.837161]
[ 0.45806144  0.49443483  0.49067484  0.50510388  0.56930037  0.46927584
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[ 0.00926346]
[ 0.41433097  0.53913383  0.48393354  0.39929963  0.43586379  0.42425433
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[ 0.42224116  0.63933403  0.51400372  0.48653488  0.40891599  0.55582526
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[ 0.20447312]
[ 0.41841669  0.59553654  0.44138693  0.47384304  0.53659867  0.54300678
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[ 0.50296223  0.67503004  0.53239146  0.42988668  0.3373747   0.53897275
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[-0.98368923]
[ 0.37081515  0.49747064  0.5507605   0.42286663  0.47200894  0.33694952
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[ 0.32345091  0.66572096  0.54049309  0.39547944  0.249268    0.60517281
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[-0.70009051]
[ 0.48747955  0.45235605  0.5644786   0.48908371  0.47567102  0.36451551
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[ 0.03108185]
[ 0.40677867  0.49856231  0.60084927  0.48679768  0.53115332  0.54539316
  0.48043696  0.62237864  0.4371079   0.6022746 ]
[-0.74778156]
[ 0.33006193  0.46814893  0.54173703  0.52625106  0.53622972  0.67528503
  0.45374553  0.62941932  0.53587681  0.55513383]
[-0.23021288]
[ 0.49929544  0.55284777  0.45341253  0.44056688  0.59176608  0.34725074
  0.70227466  0.60801208  0.38480464  0.51790187]
[-0.65962888]
[ 0.35139339  0.50704355  0.62531317  0.42819382  0.32843824  0.68466774
  0.43925431  0.64460821  0.5699885   0.61690259]
[-0.48141035]
[ 0.41065988  0.63479153  0.48287571  0.54044151  0.4204766   0.64955969
  0.44941143  0.64793428  0.48556917  0.52493909]
[-0.66494537]
[ 0.50713307  0.54164598  0.6870354   0.43579345  0.3778668   0.39831288
  0.45457203  0.57956995  0.40834528  0.4775884 ]
[-0.73206948]
[ 0.3819229   0.54923687  0.72459464  0.42460001  0.47758006  0.42541057
  0.41482709  0.58711019  0.43717029  0.50455851]
Progress: 8.0% ... Training loss: 0.848 ... Validation loss: 1.338[-0.756003]
[ 0.40826429  0.54037683  0.47841623  0.50291627  0.5314644   0.49648779
  0.56860638  0.51173184  0.3721888   0.51634275]
[-0.21149433]
[ 0.40130769  0.54082138  0.49344489  0.55064092  0.47864137  0.50686588
  0.52491288  0.50339333  0.46982758  0.45684155]
[ 2.15520245]
[ 0.46029205  0.55706853  0.47638286  0.52485683  0.53140388  0.46103872
  0.46232277  0.57030446  0.44275562  0.5082864 ]
[ 0.08763404]
[ 0.51002406  0.59602074  0.51204536  0.3309792   0.57169534  0.28070427
  0.74352855  0.63700167  0.3445522   0.56306865]
[-0.78139983]
[ 0.48453573  0.44072128  0.63334066  0.43524521  0.477075    0.46532892
  0.47219101  0.43314284  0.49214098  0.46285566]
[ 0.00225151]
[ 0.38598613  0.44486027  0.50577523  0.44462239  0.44452692  0.541328
  0.48844393  0.54279389  0.49462312  0.63678441]
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[ 0.38345975  0.40893262  0.63650215  0.48653003  0.25599179  0.44534452
  0.62526258  0.65971064  0.48837993  0.6973906 ]
[-0.89250216]
[ 0.41452926  0.58854068  0.55913431  0.49013139  0.53021162  0.49134114
  0.53460445  0.62736114  0.35230814  0.39988287]
[ 0.18116607]
[ 0.46685996  0.6308451   0.31238307  0.45055476  0.67696498  0.39988361
  0.72299635  0.31830973  0.36957521  0.41222985]
[-0.43154574]
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  0.48589524  0.55267832  0.53430081  0.50768278]
[-0.34499245]
[ 0.47769298  0.52494696  0.51831975  0.44741722  0.54424235  0.31953588
  0.55354222  0.27669002  0.37480651  0.43243398]
[ 1.09417385]
[ 0.66287464  0.51727945  0.53808244  0.52341145  0.4197557   0.38724527
  0.5282551   0.59315571  0.45379372  0.53641763]
[-0.30700353]
[ 0.26083941  0.40283564  0.74250632  0.34487888  0.33193433  0.38014343
  0.57617096  0.53328949  0.39730694  0.64677013]
[ 1.53936457]
[ 0.476278    0.60392565  0.3843622   0.46662199  0.6010286   0.32415782
  0.58995479  0.42592825  0.35228088  0.51200144]
[ 0.32305131]
[ 0.45882635  0.59172082  0.59796545  0.54211876  0.36459701  0.6602112
  0.5133504   0.6140951   0.37006856  0.59625095]
[-0.05365086]
[ 0.446894    0.53793327  0.59949335  0.53616812  0.44743544  0.57764593
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[-0.55192868]
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[-0.40971914]
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  0.40090124  0.72108069  0.61734316  0.59958685]
[ 1.80123337]
[ 0.45084671  0.48891777  0.59110117  0.4264019   0.47935202  0.33706906
  0.45662265  0.42420632  0.38007667  0.48044885]
[ 0.71384285]
[ 0.40650615  0.71191746  0.43815135  0.4639748   0.56087517  0.4457402
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[-0.96752776]
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  0.62245601  0.58279217  0.45458852  0.53271085]
[ 0.81306561]
[ 0.52943014  0.5525331   0.56081192  0.49314675  0.40694121  0.51574748
  0.51768589  0.63106791  0.4917582   0.620732  ]
[-0.4757203]
[ 0.41482418  0.44859066  0.7228166   0.43573748  0.3336719   0.4748401
  0.41652773  0.54493121  0.46537586  0.5100579 ]
[-0.94330007]
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[-0.22490999]
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[-0.46905472]
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[-0.6189061]
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[-0.75964164]
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[ 3.29563271]
[ 0.50464677  0.61232528  0.4527273   0.39449068  0.66505488  0.40415381
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[ 1.83239923]
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  0.6916894   0.25246927  0.33546712  0.44355476]
[-0.18833055]
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[ 1.05877009]
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  0.55113201  0.68206592  0.3287678   0.54083555]
[-0.83527861]
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[-0.23392014]
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[ 1.7361123]
[ 0.45729883  0.49158214  0.48904014  0.48417958  0.53170957  0.44747244
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  0.5800091   0.44291921  0.44392064  0.47915703]
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[ 0.38654278]
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[ 0.38869144]
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[ 3.37179881]
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[ 0.78814531]
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[ 1.16925599]
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[ 1.58556144]
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[ 1.23497145]
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[ 0.46277358]
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[ 1.49433655]
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[ 0.90609578]
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[ 0.14567093]
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[ 2.57835195]
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[ 0.1443616]
[ 0.43164865  0.54533629  0.59067149  0.45161561  0.4383392   0.58555943
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[ 1.25238643]
[ 0.35928073  0.56178063  0.53528742  0.38330784  0.67292357  0.40847773
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[ 0.65544872]
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[ 0.60535884]
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[ 1.74116256]
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[ 1.29620559]
[ 0.52886164  0.51403823  0.37121509  0.53439973  0.60779456  0.38049586
  0.56956907  0.49382379  0.4984392   0.43187621]
[ 0.55841642]
[ 0.53200215  0.60732038  0.44918857  0.60929818  0.43512221  0.50909805
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[ 0.26704345]
[ 0.36564211  0.60626586  0.66452011  0.31500092  0.46149053  0.47509313
  0.46651543  0.49712905  0.59521686  0.40631284]
[ 0.80027897]
[ 0.48495116  0.63443352  0.49272867  0.4133242   0.59400878  0.37028602
  0.68419589  0.38639593  0.4291594   0.36512254]
[ 1.84150034]
[ 0.41706722  0.58207879  0.62094679  0.32454909  0.52977747  0.50847716
  0.43401191  0.50922867  0.53644523  0.50117808]
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[ 0.41609543  0.55872003  0.59816403  0.37150528  0.45103272  0.41368852
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[ 0.28000551]
[ 0.63624132  0.68808684  0.24132462  0.5811021   0.76122178  0.33722435
  0.64851943  0.35513578  0.43872023  0.38063211]
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[ 0.42136897  0.39962634  0.56220397  0.45735502  0.511821    0.36274006
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[ 0.11459425]
[ 0.44625059  0.7023763   0.47471113  0.45541075  0.67357479  0.4111958
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[ 1.76864592]
[ 0.52601289  0.66384848  0.48520229  0.52498799  0.49443952  0.42361911
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[ 0.24282491]
[ 0.50445573  0.56894693  0.5130325   0.35893505  0.59050233  0.38645975
  0.67800168  0.51624539  0.40141242  0.53530761]
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[ 0.02956159]
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  0.42155043  0.57786341  0.5097936   0.54055017]
[ 0.01030909]
[ 0.55500511  0.66908486  0.43832862  0.43948004  0.41893699  0.48271956
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[-0.85276444]
[ 0.422021    0.56769513  0.62158708  0.39575644  0.60932177  0.37983017
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[ 0.36162881]
[ 0.51358451  0.63561849  0.4373467   0.44096858  0.71952437  0.50071934
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[ 0.01638575]
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[ 0.44687564  0.58699396  0.51505782  0.48373545  0.46237864  0.35730956
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[ 0.12528038]
[ 0.37134554  0.62211845  0.44989729  0.41076887  0.43161463  0.57282788
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[ 0.55056293  0.68166535  0.35700772  0.57848071  0.35862666  0.47149645
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[ 2.53716744]
[ 0.46290281  0.62494461  0.47497763  0.45656218  0.59372015  0.34040173
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[ 0.50366517  0.5789839   0.65852071  0.37401105  0.4062858   0.48833822
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[-0.12770244]
[ 0.37854624  0.61898245  0.62526362  0.4822337   0.4259392   0.5768797
  0.48167703  0.60811029  0.50589546  0.43933852]
[ 0.38405861]
[ 0.57540525  0.56954142  0.56110754  0.53110773  0.36732196  0.48230581
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[ 0.521408    0.44768399  0.66376507  0.40519286  0.61215858  0.42861082
  0.54025912  0.63569309  0.49631198  0.41539959]
[-0.1092147]
[ 0.53544284  0.60307258  0.34913302  0.49398696  0.64352781  0.40478779
  0.60297976  0.28730981  0.42251044  0.30611237]
[ 0.74074236]
[ 0.42595994  0.61287497  0.54512082  0.46418711  0.45449574  0.44233418
  0.53322514  0.6861936   0.34544008  0.51613153]
[ 1.5167386]
[ 0.47133471  0.61754759  0.54617351  0.42747604  0.43053745  0.49900686
  0.57623612  0.66950618  0.41935185  0.44654457]
[-0.05803753]
[ 0.5177985   0.60991196  0.54239072  0.39865742  0.43187228  0.5482468
  0.60462672  0.67970945  0.56640338  0.607054  ]
[ 3.88392417]
[ 0.46594176  0.65143175  0.48687097  0.51759801  0.48423578  0.48442836
  0.49124523  0.53423624  0.42772048  0.45812174]
Progress: 8.3% ... Training loss: 0.845 ... Validation loss: 1.328[-0.72529948]
[ 0.40297039  0.60379091  0.4567305   0.49445687  0.55464314  0.47044695
  0.51848415  0.73706149  0.47592344  0.60162592]
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[ 0.37014434  0.56166776  0.57455969  0.39027722  0.58194741  0.60085309
  0.48600167  0.56407238  0.54142743  0.64968311]
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[ 0.45075772  0.39382242  0.71482813  0.44860623  0.32473817  0.41507099
  0.48508439  0.55824796  0.45310521  0.52763465]
[-0.53863599]
[ 0.40668484  0.62581452  0.58384967  0.50068617  0.41888448  0.58242265
  0.42948715  0.57594046  0.48672404  0.56496467]
[ 0.10295084]
[ 0.44174568  0.48234776  0.52822644  0.37309288  0.58886775  0.32698958
  0.60910075  0.49350604  0.49889229  0.50156797]
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[ 0.56005383  0.58813056  0.64293663  0.45471358  0.35424056  0.53513762
  0.48437831  0.4948479   0.39392455  0.60306976]
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[ 0.35286304  0.45009116  0.67924868  0.35472979  0.41421967  0.47972587
  0.5918749   0.5370666   0.54383569  0.56304909]
[-0.64204363]
[ 0.42126094  0.46995756  0.52332805  0.53901108  0.38468881  0.63523464
  0.47972601  0.65100664  0.5609508   0.61468085]
[ 0.06468665]
[ 0.45983608  0.61463536  0.46481195  0.37751817  0.61829945  0.31925675
  0.59494635  0.36187932  0.48520713  0.4346097 ]
[-0.35039874]
[ 0.43587227  0.55370811  0.48011766  0.4926056   0.50526019  0.36812745
  0.63502546  0.59234941  0.49968779  0.43874603]
[-0.76754692]
[ 0.37595541  0.47321924  0.55312327  0.48491629  0.5675017   0.50589124
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[-0.0445494]
[ 0.453254    0.57675387  0.41637479  0.37072613  0.63914523  0.48849874
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[ 1.18339712]
[ 0.36299749  0.49935817  0.70781681  0.41300906  0.37180627  0.44867727
  0.56619656  0.5516992   0.36236399  0.59629938]
[ 0.30658125]
[ 0.63640356  0.71108529  0.34633171  0.58772527  0.63890297  0.50820218
  0.52477384  0.40152502  0.47167841  0.40530764]
[ 0.37578194]
[ 0.5954117   0.47092024  0.33671294  0.49733697  0.70903248  0.30200019
  0.5799161   0.23814781  0.4146      0.34807541]
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[ 0.34858208  0.4652331   0.65856606  0.51500228  0.50457018  0.65605475
  0.46727694  0.60595283  0.57507859  0.462845  ]
[-0.22622517]
[ 0.37859616  0.4403836   0.58564417  0.52708651  0.50175802  0.55788291
  0.47604482  0.60591284  0.56299891  0.49147883]
[ 0.80812895]
[ 0.54498162  0.60292661  0.51215295  0.51075875  0.4674474   0.40597904
  0.44640884  0.47438981  0.41713983  0.39237758]
[-0.59974834]
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[-1.12196154]
[ 0.54504399  0.46617604  0.58240495  0.42847481  0.68276199  0.34351515
  0.53771883  0.47752192  0.4590641   0.40697446]
[ 0.32643623]
[ 0.46465465  0.66047889  0.36982095  0.58295779  0.58663299  0.4616582
  0.60749725  0.59320582  0.39449632  0.53980642]
[ 0.04055215]
[ 0.40759742  0.4712757   0.64617022  0.34163983  0.39811801  0.38955435
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[-0.00142576]
[ 0.48274138  0.57587854  0.46929434  0.45885924  0.58503898  0.48746422
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[ 0.45838179  0.51649559  0.55182048  0.52736904  0.51192115  0.49363219
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[-0.73376329]
[ 0.43076047  0.4787032   0.47480553  0.52778165  0.59742266  0.3819335
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[ 0.14136185]
[ 0.46720876  0.66845694  0.49516931  0.46316458  0.42019673  0.61555895
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[-0.23173091]
[ 0.48497379  0.66998448  0.36146997  0.5753829   0.61705162  0.43091921
  0.62087261  0.64189317  0.40290125  0.49264158]
[-0.15634193]
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[ 1.32538449]
[ 0.43414535  0.46084645  0.39352132  0.44523842  0.68248005  0.38510882
  0.58095591  0.45390901  0.52792423  0.42981744]
[ 0.82755694]
[ 0.35396806  0.5217043   0.44422441  0.4640868   0.67298132  0.49820711
  0.57231152  0.60917288  0.48523276  0.43847425]
[-0.86156933]
[ 0.32403325  0.58953678  0.67610426  0.52704615  0.46015909  0.61051294
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[-1.09579074]
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[-0.27725514]
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[ 0.85990672]
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[ 0.40023605]
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[ 0.8337689]
[ 0.4225704   0.64374665  0.48258619  0.52514321  0.48074424  0.54361435
  0.48610428  0.67106925  0.43764009  0.58322967]
[ 0.88648899]
[ 0.53627308  0.53008112  0.46995035  0.40250824  0.622463    0.30445823
  0.45860139  0.45437687  0.47715533  0.46529109]
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[ 0.56938782  0.53799879  0.56543587  0.41987396  0.66179554  0.35735153
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[ 0.51316593  0.55825842  0.47137588  0.46875858  0.63526676  0.40786807
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[ 0.38704201  0.56732122  0.42147103  0.54435239  0.47741918  0.35606847
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  0.496866    0.48737594  0.44056321  0.54600193]
[ 1.82853568]
[ 0.42915619  0.5979891   0.47499858  0.47253731  0.54288282  0.31504862
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  0.54263858  0.52836117  0.4422239   0.43791306]
[ 0.18231438]
[ 0.53349412  0.45538996  0.44112457  0.53019549  0.61439562  0.52069072
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[ 0.01831661]
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[ 1.14820742]
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[ 2.14735436]
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[ 1.26090195]
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[ 2.93601318]
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[ 0.98887202]
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[ 1.42436866]
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[ 0.02860243]
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[ 1.84240467]
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[ 2.51581147]
[ 0.3700585   0.60194796  0.41921808  0.46210207  0.56354609  0.30427754
  0.68145564  0.49183426  0.39543036  0.47649002]
[ 1.94180652]
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[ 2.26453919]
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  0.51033557  0.45236076  0.39753281  0.53779617]
[ 1.29947271]
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[ 1.45023321]
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  0.53772838  0.69728528  0.59690266  0.4993221 ]
[ 2.63861353]
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  0.58310535  0.48967476  0.43471968  0.45828367]
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  0.56023521  0.48643241  0.50674623  0.53422581]
[ 3.67219381]
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  0.53533091  0.50588674  0.47157763  0.37607148]
[ 0.76834543]
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[ 2.01056617]
[ 0.58135122  0.61281121  0.4592657   0.48781478  0.70919051  0.29137383
  0.54805455  0.55967935  0.47276718  0.3596819 ]
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  0.46058254  0.59272943  0.56476542  0.56004885]
[ 3.49750655]
[ 0.56125243  0.62590356  0.47564239  0.47910272  0.51110791  0.43189572
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[ 1.02928142]
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[ 0.10638683]
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[ 1.57499719]
[ 0.53533586  0.59563326  0.50333495  0.39425101  0.59247735  0.36780288
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[ 0.44228859  0.531862    0.55832236  0.4562514   0.52091026  0.53642035
  0.5243441   0.39914459  0.48387094  0.36635208]
[ 2.27435331]
[ 0.54011717  0.6036506   0.41969229  0.47550016  0.67964589  0.35746238
  0.54794187  0.38995341  0.46514678  0.40724747]
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[ 0.5742004   0.41355771  0.53770392  0.48711791  0.41162801  0.4269766
  0.48304531  0.45738534  0.60359452  0.35497519]
[ 0.33359545]
[ 0.37772719  0.38393052  0.57568841  0.46804616  0.46428407  0.45786718
  0.53002989  0.31526322  0.43068247  0.48659463]
[ 2.00665478]
[ 0.40479761  0.47027484  0.58769836  0.37562523  0.65793845  0.39044228
  0.56534808  0.59445933  0.41540196  0.55324762]
[-0.79033322]
[ 0.41237296  0.50790023  0.68617092  0.33100243  0.55673911  0.54449499
  0.49970702  0.37634984  0.46863968  0.52250939]
[ 0.0024093]
[ 0.45937254  0.54779915  0.37512106  0.51606404  0.52050298  0.29580861
  0.57968634  0.36781861  0.431684    0.59034623]
[-1.00587206]
[ 0.48600937  0.62015566  0.5147441   0.4480147   0.58460619  0.43158585
  0.67965532  0.5311876   0.40842781  0.53132107]
Progress: 8.6% ... Training loss: 0.841 ... Validation loss: 1.308[ 0.49707107]
[ 0.4612845   0.5440629   0.38188413  0.46663009  0.53154299  0.36937847
  0.57669573  0.62720647  0.50584777  0.57309668]
[-0.56125083]
[ 0.29416921  0.30159079  0.69485642  0.41795572  0.43204094  0.42518006
  0.50314892  0.49295148  0.5260353   0.55248271]
[ 2.41684112]
[ 0.51672117  0.61475296  0.46374397  0.52500404  0.59137822  0.43425169
  0.57609042  0.34437138  0.35683115  0.40552864]
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[ 0.41049924  0.48896957  0.55151638  0.45827874  0.29808253  0.58787405
  0.55926763  0.46194441  0.49124265  0.59470795]
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[ 0.35089357  0.52073545  0.60520014  0.45504226  0.4102661   0.52849028
  0.52267701  0.59043355  0.56467694  0.55466053]
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[ 0.44361309  0.60594907  0.57830365  0.45403688  0.37141834  0.44624568
  0.5189264   0.62087526  0.50102102  0.60604063]
[ 0.33581694]
[ 0.594105    0.60962385  0.57948014  0.41769106  0.35383945  0.51668202
  0.54010556  0.57729327  0.39650278  0.62133366]
[-0.43831224]
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  0.67250452  0.46602578  0.50696418  0.48270854]
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[ 0.37780296  0.60625401  0.57654751  0.53335057  0.4151668   0.52888633
  0.64769719  0.67677066  0.50293955  0.3810549 ]
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[ 0.47099657  0.55638502  0.47462128  0.53635398  0.36236708  0.60862194
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  0.55604913  0.48441136  0.3791306   0.47311506]
[-0.26195578]
[ 0.28579528  0.47097682  0.62022422  0.48545601  0.45891286  0.74214536
  0.38578634  0.59964068  0.51723355  0.59647866]
[ 0.09304384]
[ 0.47017981  0.57748098  0.56628892  0.42014396  0.67993716  0.40718357
  0.69232903  0.61667799  0.44886691  0.42592705]
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[ 0.4994135   0.5958041   0.49104404  0.63909187  0.46094738  0.51921859
  0.66791322  0.67080951  0.46843537  0.47627433]
[-0.6385817]
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  0.40483438  0.58646707  0.59869237  0.53793901]
[ 0.20363634]
[ 0.45239106  0.65743927  0.49666202  0.56405896  0.47171711  0.43346579
  0.50993594  0.41975022  0.36851739  0.48318366]
[-0.86159585]
[ 0.54288056  0.4935276   0.52113331  0.46023826  0.37475338  0.42588661
  0.52273549  0.48050191  0.51799885  0.4004316 ]
[-0.3421447]
[ 0.50806936  0.58768779  0.42386481  0.53842696  0.56510525  0.39153647
  0.61834158  0.37029393  0.48869111  0.39105324]
[ 0.38006748]
[ 0.49940254  0.71977231  0.52022825  0.51111786  0.49792795  0.41068655
  0.5226668   0.58100138  0.30740335  0.42340354]
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[ 0.34709999  0.56870829  0.6986296   0.33412079  0.41372314  0.4472035
  0.62904189  0.55967661  0.50139348  0.54364963]
[-0.03607165]
[ 0.45855743  0.46619272  0.48268158  0.46408165  0.39511162  0.45253389
  0.56735645  0.57105271  0.41159109  0.63172754]
[ 1.01018627]
[ 0.36467836  0.59121878  0.42533962  0.52189623  0.49273803  0.52861406
  0.48729325  0.37123006  0.44956903  0.51509427]
[-0.0410582]
[ 0.51146369  0.68312555  0.43319293  0.42955787  0.69718611  0.53519755
  0.53289939  0.52688052  0.42420216  0.5286698 ]
[-0.88101784]
[ 0.45501483  0.66897325  0.33412789  0.63643121  0.42957025  0.46619888
  0.64689879  0.7282052   0.48875744  0.56677027]
[-0.87386177]
[ 0.47539508  0.59049258  0.53478336  0.55573572  0.5242413   0.46816144
  0.53148375  0.62904885  0.4114554   0.47555986]
[ 1.71659709]
[ 0.45497616  0.59250427  0.324534    0.48845224  0.73627054  0.274334
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[ 0.54971966]
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[ 1.79442244]
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[ 0.91636068]
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[ 1.66126522]
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[ 1.22394869]
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[ 0.56024554]
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[ 1.30246104]
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[ 0.03107472]
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[ 1.58934418]
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[ 1.62939882]
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[ 1.36066067]
[ 0.43839882  0.5548721   0.4519234   0.47362279  0.61753842  0.43256516
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[ 0.37716103  0.43033679  0.53678792  0.45838672  0.3982514   0.64029031
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[ 0.73792095]
[ 0.49766224  0.57891205  0.32656421  0.48800811  0.41094012  0.42749538
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[-1.09715863]
[ 0.57373628  0.5492848   0.5393999   0.52269138  0.47806385  0.42379779
  0.61642142  0.38478944  0.389546    0.42370881]
[-0.87375022]
[ 0.37991984  0.42789475  0.70103684  0.32178086  0.43342166  0.4640399
  0.63116715  0.55902768  0.54189774  0.54871062]
[-0.61628142]
[ 0.32707598  0.46269717  0.66135876  0.41671358  0.34790393  0.38787822
  0.52832243  0.62895047  0.4871266   0.67580109]
Progress: 8.9% ... Training loss: 0.838 ... Validation loss: 1.322[-0.74320721]
[ 0.49678903  0.62751648  0.72367071  0.30815176  0.31173174  0.42953906
  0.52485724  0.6037766   0.51039859  0.51026125]
[ 0.92968984]
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[-1.05192764]
[ 0.38879702  0.53296577  0.55638116  0.43885346  0.59484288  0.28600961
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[-0.72380148]
[ 0.40242618  0.60266973  0.45714054  0.49522279  0.55324868  0.47093371
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[-0.73415073]
[ 0.43792028  0.50374462  0.5702339   0.50088125  0.56042429  0.55516541
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[-0.50812273]
[ 0.5358994   0.619647    0.47975831  0.47216034  0.48933984  0.37885159
  0.6020563   0.65817814  0.40273369  0.55253315]
[-0.61786783]
[ 0.49308743  0.51295715  0.55415465  0.48487064  0.54911183  0.31502306
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[ 0.38990249  0.54749202  0.61773012  0.48755992  0.5023968   0.52831199
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[ 2.10111026]
[ 0.39258869  0.63680479  0.49738636  0.4596844   0.61555663  0.29954954
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[-0.40838257]
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[ 1.41316539]
[ 0.61461806  0.60733662  0.37399642  0.52054191  0.6260349   0.33557697
  0.47839932  0.43026815  0.40099844  0.4633796 ]
[-0.84780127]
[ 0.45583989  0.57525999  0.57036159  0.41121219  0.41485665  0.55362349
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[ 0.54268296]
[ 0.45451882  0.54995791  0.60819103  0.39312347  0.49294445  0.31074782
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[-0.265264]
[ 0.44978325  0.44372194  0.6544894   0.47145657  0.19527612  0.55822787
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[-0.75180661]
[ 0.4746426   0.55067174  0.57637721  0.50175592  0.34467594  0.57810612
  0.49636964  0.69010656  0.6776736   0.44566528]
[-0.02910975]
[ 0.45476705  0.41150884  0.55263127  0.40794511  0.55712786  0.42993033
  0.50143188  0.43467209  0.58194792  0.45612551]
[-0.4397577]
[ 0.53524427  0.67790007  0.65428038  0.36347216  0.28421108  0.40509721
  0.51216336  0.4901444   0.35483906  0.61580647]
[ 1.19534346]
[ 0.55674027  0.53540611  0.37577287  0.50107992  0.53945189  0.34828143
  0.56559701  0.42452926  0.42960516  0.54198205]
[ 1.07454099]
[ 0.2838281   0.55103431  0.67377566  0.39102587  0.45416644  0.57217328
  0.41797238  0.57983584  0.43395933  0.64532141]
[ 2.00003829]
[ 0.58971486  0.53091493  0.57167549  0.34334408  0.59994998  0.36892953
  0.48165305  0.54493597  0.49997706  0.52266021]
[-0.34290181]
[ 0.50407431  0.51308571  0.65568277  0.40755895  0.4047445   0.44441247
  0.58532555  0.60422653  0.41470582  0.47083462]
[-0.82346567]
[ 0.49234742  0.61356286  0.51644756  0.42375744  0.37510574  0.50658063
  0.51245866  0.44771965  0.48327215  0.55977792]
[ 1.64428983]
[ 0.41555956  0.57773178  0.39972627  0.52846749  0.56794236  0.37192494
  0.52673749  0.59147281  0.50412012  0.46873896]
Progress: 9.1% ... Training loss: 0.835 ... Validation loss: 1.324[-0.86259208]
[ 0.47869117  0.56456608  0.70226654  0.4458148   0.39245953  0.44052022
  0.58045687  0.53602614  0.31607826  0.43781024]
[-0.0166223]
[ 0.49871966  0.74213184  0.38155546  0.56760971  0.61774752  0.476409
  0.54805402  0.30982802  0.28836671  0.39647712]
[ 1.08217171]
[ 0.56201809  0.61302627  0.39453423  0.4302706   0.69866319  0.26189645
  0.57061552  0.54180616  0.51556455  0.50575113]
[-0.65393349]
[ 0.29861934  0.45390776  0.66644965  0.45899253  0.34101745  0.63460555
  0.49106451  0.62384845  0.50563734  0.62958082]
[ 0.09434909]
[ 0.63723489  0.44032949  0.5907653   0.47631991  0.39733659  0.39790455
  0.5070854   0.44140638  0.42627627  0.4941951 ]
[-0.96251278]
[ 0.54260749  0.55513251  0.71319872  0.45882954  0.40780578  0.41776451
  0.56180843  0.62898049  0.36157347  0.42307812]
[-0.41530604]
[ 0.41882228  0.67992832  0.31718328  0.51473408  0.31580373  0.61071576
  0.60895403  0.70273719  0.58460482  0.54420294]
[ 0.19448187]
[ 0.54786277  0.58109297  0.42576004  0.38308638  0.73190934  0.41170122
  0.58668308  0.33333176  0.39104562  0.39214635]
[ 0.03599369]
[ 0.50979406  0.6015264   0.37901714  0.53698348  0.5275287   0.44968022
  0.58664362  0.31157357  0.48826691  0.3374632 ]
[-0.6924488]
[ 0.61526104  0.51826292  0.59211786  0.48287819  0.42180214  0.45211706
  0.48422521  0.42315897  0.3727985   0.48448569]
[-0.18944105]
[ 0.47081333  0.56387771  0.53488134  0.45604365  0.33908037  0.35299171
  0.74979489  0.59877837  0.3411292   0.62289623]
[-1.08964677]
[ 0.49100072  0.59501555  0.43029335  0.46933955  0.65481546  0.45684685
  0.5074216   0.30382568  0.42852892  0.46461535]
[ 1.96461933]
[ 0.43148484  0.62074023  0.46098971  0.40081669  0.48162415  0.54099526
  0.41366893  0.63275974  0.53841858  0.59837797]
[-0.17362977]
[ 0.63406126  0.58619533  0.49527292  0.32143177  0.55172744  0.29755234
  0.61206763  0.5575912   0.45786869  0.58331063]
[ 2.55434944]
[ 0.45705414  0.60117744  0.4992962   0.37477691  0.54002687  0.43150813
  0.46136924  0.52554723  0.32621017  0.52723308]
[-0.1179858]
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  0.67469574  0.64070773  0.43229871  0.57161626]
[-0.69947147]
[ 0.55596752  0.4872959   0.48882889  0.5618009   0.53333612  0.44762587
  0.48506792  0.59193596  0.53377305  0.51061198]
[ 0.47705696]
[ 0.39078882  0.60432621  0.66156317  0.38468775  0.38683233  0.46128485
  0.49994561  0.68115534  0.55361126  0.55954946]
[-0.94999308]
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  0.55564254  0.52090233  0.41393355  0.54122169]
[-0.82904746]
[ 0.34750516  0.52394109  0.59117617  0.44902001  0.48700088  0.56421795
  0.42652138  0.61995382  0.47526266  0.5307093 ]
[ 2.24974301]
[ 0.44729223  0.57822063  0.45516065  0.42422475  0.75634893  0.46885449
  0.53211773  0.45496124  0.45962036  0.40394815]
[ 0.12032893]
[ 0.4156245   0.67282864  0.50915591  0.46051663  0.53037653  0.39942522
  0.58672301  0.62646684  0.4910866   0.54463538]
[ 0.01755954]
[ 0.40681161  0.55969514  0.48782702  0.38504148  0.52279063  0.57512918
  0.47813252  0.44685946  0.59404541  0.4718584 ]
[-0.44266567]
[ 0.43912471  0.53467834  0.44700775  0.57704309  0.36624139  0.60793954
  0.55005327  0.65130279  0.50440876  0.54418531]
[ 2.47805028]
[ 0.46907238  0.58216395  0.52405532  0.44709707  0.57715407  0.37424674
  0.60238483  0.51281264  0.36294676  0.26906858]
[ 0.27899931]
[ 0.26098512  0.56480603  0.74776984  0.41790506  0.26374984  0.5723314
  0.41425758  0.51067847  0.59232724  0.61005749]
[ 0.40921057]
[ 0.40577061  0.37596033  0.65497231  0.43694094  0.42804374  0.52629718
  0.5558463   0.49684601  0.41917495  0.45646937]
[-0.51614636]
[ 0.48731479  0.65597495  0.42531606  0.54988937  0.37960226  0.578976
  0.49490349  0.62260081  0.50179824  0.52040199]
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  0.41654333  0.49016618  0.47313238  0.63291264]
[ 1.09963439]
[ 0.64825519  0.62690504  0.57526407  0.43147389  0.3356588   0.47478999
  0.40816171  0.56383285  0.46832347  0.48645586]
[-0.15654497]
[ 0.59153039  0.59152413  0.50199595  0.47799075  0.65340798  0.38274894
  0.49567599  0.40411009  0.48488898  0.46522098]
[ 1.10424124]
[ 0.4971008   0.6082277   0.49611589  0.41892945  0.6307202   0.39436655
  0.57042505  0.55976926  0.30985056  0.40623071]
[-0.33231339]
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[-0.05084264]
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  0.53104439  0.63487174  0.5112124   0.5269618 ]
[ 0.23683476]
[ 0.55292121  0.58016     0.51582458  0.46062112  0.4590306   0.52870271
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[ 0.45263677  0.68068588  0.44517547  0.60267278  0.44933158  0.5447264
  0.62875713  0.60724246  0.45175539  0.54215616]
[ 0.97952095]
[ 0.3767505   0.48502181  0.64854812  0.33050466  0.58068106  0.32175378
  0.53575054  0.49186606  0.40580347  0.38655311]
[ 1.15032866]
[ 0.43339085  0.54203199  0.60707243  0.4563422   0.59608876  0.39229621
  0.52411593  0.54943893  0.37354328  0.4052744 ]
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[-0.73985484]
[ 0.47451847  0.6115183   0.54147125  0.56833161  0.32481982  0.55431737
  0.52767748  0.53727757  0.4217366   0.57222692]
[ 2.93941147]
[ 0.47582639  0.49648261  0.44227542  0.45956389  0.70140514  0.29696915
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[-0.39405691]
[ 0.48815848  0.55428189  0.49326809  0.53204563  0.58258684  0.3617776
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[ 2.93282269]
[ 0.38552221  0.67068377  0.63425923  0.4090366   0.48599222  0.38894256
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[ 0.05096989]
[ 0.49239449  0.57253927  0.52288161  0.38435891  0.57595085  0.51275298
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[ 0.10977215]
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[ 0.59564328]
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[ 1.22886254]
[ 0.46834245  0.73423474  0.41066737  0.50253125  0.50930107  0.27948645
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[-0.43922579]
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[ 0.41709159]
[ 0.57679398  0.69235208  0.51414195  0.43091981  0.66015363  0.36192764
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[ 1.98762281]
[ 0.61144297  0.75095357  0.41422382  0.55401733  0.51597276  0.38234609
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[-1.04491581]
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[ 1.09512188]
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[ 2.61448591]
[ 0.37236261  0.55418238  0.47701063  0.44190436  0.64000229  0.43022381
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[ 0.79354723]
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[ 0.52107325]
[ 0.57753392  0.52515417  0.63814858  0.42980268  0.47204643  0.31882445
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[ 0.04522368]
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[ 1.5339346]
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[ 0.91320879]
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[ 1.63312586]
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[ 0.12009149]
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[ 0.17727626]
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[ 0.27117265]
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[ 0.21717554]
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[ 0.28921349]
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[ 2.67503262]
[ 0.32628693  0.61412097  0.62242239  0.53907294  0.45025993  0.54128288
  0.51278203  0.60877931  0.4093134   0.39903747]
[ 0.66927043]
[ 0.54325828  0.61050745  0.34393054  0.57349813  0.54659079  0.52784813
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[ 0.01623193]
[ 0.4479632   0.58509753  0.51551556  0.49741764  0.48252973  0.46817339
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[-0.37699139]
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[ 2.07170703]
[ 0.53257247  0.51858164  0.60785397  0.47566972  0.46575557  0.4684303
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[ 0.09876347]
[ 0.48748696  0.59977991  0.48911777  0.48558577  0.47822968  0.5842561
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[ 1.11569911]
[ 0.50223409  0.60842899  0.55924144  0.40591103  0.42731232  0.58423684
  0.40897178  0.63364692  0.45900644  0.57151956]
[ 1.36208768]
[ 0.55146587  0.5732539   0.45890006  0.46879866  0.51729204  0.34401192
  0.50934092  0.45797324  0.37362354  0.44868205]
[-0.80863614]
[ 0.53036189  0.57228591  0.56938931  0.57562916  0.36022285  0.53383154
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[ 0.39726109  0.57335521  0.57221088  0.44469241  0.4900686   0.44161648
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[-0.35585023]
[ 0.41247943  0.62548343  0.60968461  0.40610234  0.30777896  0.52703512
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[ 0.37658117  0.58809112  0.52591957  0.51565595  0.64937026  0.36898932
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[ 0.55542933  0.58260977  0.41148795  0.40793298  0.7639447   0.31159031
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[ 0.22546572]
[ 0.45287419  0.7034566   0.4952386   0.44158499  0.41346769  0.53512119
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[ 0.39297948  0.5009129   0.60872672  0.43918353  0.41317045  0.54465331
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[ 0.4416402   0.59936686  0.49222081  0.48366255  0.51664393  0.61388306
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[ 0.52376929  0.60810066  0.65741889  0.38884657  0.389871    0.53682119
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[ 0.24212604]
[ 0.41249162  0.51626897  0.69402639  0.35203198  0.50789597  0.50934927
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[ 0.5134803   0.57847416  0.51015809  0.64716503  0.50520862  0.56088888
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[ 0.01901087]
[ 0.54507327  0.73512554  0.36903658  0.4278382   0.74152341  0.4566998
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[ 0.52133591  0.54246681  0.53497971  0.45888625  0.39340763  0.37544219
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[ 0.38719872  0.64984667  0.58731108  0.55546514  0.49713383  0.47274983
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[ 0.3969807]
[ 0.41988141  0.61637402  0.46417415  0.45316787  0.5029491   0.42104392
  0.58907327  0.64650593  0.5497401   0.47771621]
[ 1.87768487]
[ 0.53371324  0.62864962  0.33647333  0.47990093  0.71276234  0.25761707
  0.62288757  0.42358936  0.42147547  0.41768375]
[-0.68044317]
[ 0.45375024  0.51603395  0.68062098  0.54254954  0.38892623  0.62846862
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[-0.79511335]
[ 0.41267296  0.49117134  0.57998805  0.54110634  0.46780149  0.60945342
  0.53481288  0.58750964  0.47212759  0.57292231]
[ 0.66977224]
[ 0.44745049  0.60641969  0.47526273  0.36583376  0.60471721  0.46793443
  0.48100551  0.56942892  0.49822812  0.52660949]
[-1.06316668]
[ 0.52412179  0.55671305  0.30732687  0.55730339  0.57275148  0.32968304
  0.68126389  0.61599744  0.48010323  0.50592855]
[ 2.48202934]
[ 0.44453655  0.61407884  0.51350652  0.40418043  0.42533272  0.41814783
  0.55121917  0.50534083  0.44610072  0.43871296]
Progress: 9.4% ... Training loss: 0.833 ... Validation loss: 1.312[-0.41217763]
[ 0.41768734  0.54404825  0.51764     0.53781268  0.58758893  0.50730361
  0.51593459  0.50894765  0.47153096  0.45548318]
[-0.1909903]
[ 0.39363107  0.38577525  0.58154772  0.44058285  0.47306195  0.42920146
  0.41703653  0.46046066  0.52230984  0.53387272]
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[ 0.52820687  0.54377087  0.44380218  0.55314541  0.59318788  0.52328811
  0.474887    0.43558377  0.48056749  0.52692544]
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[ 0.41195757  0.60907779  0.6815745   0.50260686  0.18500226  0.68268321
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[-0.0023024]
[ 0.63389024  0.59462175  0.3511709   0.47311279  0.65395504  0.4608895
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[ 0.32003423  0.46737514  0.67530396  0.39517498  0.41827066  0.4943025
  0.50574611  0.55686703  0.53167164  0.516213  ]
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[ 0.37424362  0.61692167  0.59799105  0.40892315  0.42991716  0.38245316
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[-0.8475152]
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[ 0.41793563  0.55274006  0.64344716  0.32118042  0.46808631  0.47852516
  0.56034917  0.59325496  0.6307855   0.51698501]
[-0.08639445]
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[ 0.04444019]
[ 0.58765248  0.52995164  0.50854004  0.38991838  0.70583757  0.33039727
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[ 0.79088667]
[ 0.50958009  0.59917047  0.40364947  0.55242392  0.45608414  0.46977473
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[-0.33445988]
[ 0.53211964  0.55031386  0.62556541  0.48917025  0.48018145  0.47864624
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[ 0.32285334]
[ 0.44144767  0.62492639  0.50991399  0.5131118   0.40671926  0.49722205
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[-0.83608929]
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[ 0.38950226  0.56877713  0.58553823  0.46995671  0.48310159  0.53215576
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[-0.15687344]
[ 0.37256111  0.5566741   0.61300809  0.39702956  0.51963512  0.54614891
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[-0.48880521]
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  0.49949778  0.45905017  0.47581428  0.51061057]
[-0.68797172]
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[-0.83894103]
[ 0.39342893  0.52501241  0.48916157  0.48076561  0.40933988  0.55786742
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[-0.29274147]
[ 0.40059631  0.54152334  0.56324247  0.38770069  0.36683617  0.56734257
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[ 0.56265178]
[ 0.52634044  0.57045454  0.38554565  0.60705061  0.48236815  0.54275787
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[-0.80417439]
[ 0.35854434  0.55146873  0.62373584  0.40242298  0.39923145  0.47635275
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[-0.75925172]
[ 0.50571742  0.74001868  0.37218483  0.56935173  0.41792476  0.54844837
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[-0.02823705]
[ 0.58637808  0.5978917   0.35950691  0.50345459  0.50415721  0.40937481
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[-0.84019448]
[ 0.42171182  0.47436631  0.62613467  0.45048293  0.5784141   0.61912927
  0.50679717  0.57042683  0.54214089  0.55435495]
[-0.71191378]
[ 0.52993441  0.62678859  0.36936093  0.54858222  0.44084332  0.48801533
  0.61661167  0.63687491  0.52994335  0.41736753]
[ 0.01447166]
[ 0.53410302  0.56008894  0.41193789  0.47613567  0.67538586  0.32834315
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[-0.92493005]
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[ 0.09435019]
[ 0.46641165  0.55500761  0.51697555  0.45101193  0.50927741  0.58949831
  0.5607724   0.6091557   0.50033246  0.63367765]
[ 2.12490479]
[ 0.40996478  0.57924116  0.58275335  0.40917407  0.36187443  0.47513102
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[-0.51615758]
[ 0.40481074  0.40598182  0.58694011  0.47773361  0.41277068  0.40978666
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[-0.2389933]
[ 0.41486911  0.57351887  0.62746918  0.36855108  0.52895082  0.59313974
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[ 0.85016081]
[ 0.45072703  0.60136827  0.64882361  0.50868902  0.32851419  0.55792838
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[ 0.59004054  0.63506881  0.34370983  0.5750167   0.44408763  0.56686668
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[-0.84318413]
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[-0.38718846]
[ 0.4608064   0.54875658  0.48037619  0.52922753  0.49187224  0.69081702
  0.42582791  0.44759005  0.46647563  0.49213544]
[-0.12883694]
[ 0.47990161  0.54264998  0.57934412  0.44390485  0.38396848  0.47607731
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[ 0.69488207]
[ 0.38493401  0.63860152  0.42264891  0.49616217  0.54880613  0.59211497
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[-0.79460328]
[ 0.36862128  0.54335337  0.59341299  0.54344969  0.42686699  0.51646079
  0.62847023  0.61492555  0.46545917  0.41475599]
[ 0.22610272]
[ 0.50620475  0.57247897  0.43629604  0.4948316   0.58310496  0.38135358
  0.57939757  0.33653513  0.4595465   0.37336453]
[ 1.9214276]
[ 0.51789146  0.68679898  0.45204714  0.37487239  0.72221363  0.30638834
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[ 0.49207256  0.68673241  0.32126557  0.47426723  0.67364955  0.41396895
  0.57193295  0.64469574  0.42613507  0.53149314]
[ 3.89381053]
[ 0.5859771   0.63784642  0.50371924  0.3988526   0.62491494  0.43784895
  0.60744078  0.47903383  0.32232164  0.45321364]
[-0.79391395]
[ 0.34987637  0.44675178  0.63537548  0.47875373  0.45627203  0.61584353
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[ 1.10595841]
[ 0.47688404  0.58468345  0.572055    0.39086274  0.53098513  0.53399
  0.41703754  0.36959418  0.49442882  0.45047831]
[ 2.90930486]
[ 0.62652768  0.67040355  0.57953697  0.43476869  0.47717637  0.34019414
  0.6256983   0.5072183   0.20303526  0.43653935]
[ 0.48245945]
[ 0.41302337  0.54717313  0.60984967  0.37563679  0.52516371  0.34006311
  0.69262154  0.51834272  0.38327168  0.48881984]
[ 2.41850121]
[ 0.28410834  0.52549777  0.63649456  0.49963113  0.43155797  0.60918027
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[ 1.07944877]
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[ 3.60682344]
[ 0.55297375  0.68595651  0.345761    0.43821725  0.65783502  0.26539009
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[ 0.11727226]
[ 0.43987731  0.56637176  0.52713738  0.55906546  0.45632424  0.45149061
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[ 0.34051842  0.49145449  0.69464691  0.37464896  0.41545104  0.43478457
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[-0.92632284]
[ 0.47455026  0.56750985  0.52027974  0.51473122  0.49557603  0.53817091
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[ 0.16064957]
[ 0.42697085  0.46994164  0.65745468  0.44468271  0.43428491  0.40476277
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[ 0.09379119]
[ 0.45435538  0.61810903  0.52098506  0.43559505  0.65009556  0.5708855
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[ 0.7419457]
[ 0.38016221  0.60824897  0.53640422  0.425423    0.45157083  0.57670505
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[ 0.30946402]
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[ 3.4763987]
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[ 0.60516058]
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[ 0.44021411]
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[ 0.78063938]
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[ 1.2942881]
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[ 0.46205263]
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[ 0.98369282]
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[ 0.50312141]
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[ 2.68235991]
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[ 0.39103366]
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[ 0.59801318]
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[ 0.39746728]
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[ 0.72569974]
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[ 0.61631949]
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[ 0.7778384]
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[ 0.22522271]
[ 0.57943402  0.68201829  0.45618916  0.41254881  0.70940713  0.36242951
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[-1.00772821]
[ 0.36626435  0.5950303   0.58498426  0.41771033  0.6988357   0.48156014
  0.60723736  0.54428562  0.38856074  0.46109535]
[ 2.00277613]
[ 0.42825077  0.59176241  0.62799988  0.39548677  0.55312401  0.31404859
  0.48068733  0.54970361  0.41516258  0.52669509]
[-0.89931671]
[ 0.34959476  0.43144813  0.60428392  0.4342559   0.44069998  0.42764345
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[-0.85706439]
[ 0.34279806  0.58534248  0.65053562  0.36626575  0.5180279   0.37854577
  0.50403191  0.45577294  0.39912043  0.5514444 ]
[ 0.4173159]
[ 0.48001922  0.58529846  0.51171758  0.4597374   0.37626059  0.57813138
  0.42585951  0.50963426  0.44228531  0.67186413]
Progress: 9.7% ... Training loss: 0.830 ... Validation loss: 1.309[-0.71071934]
[ 0.42849822  0.44910577  0.73581536  0.43915721  0.33452304  0.57045941
  0.56780392  0.66169964  0.55627235  0.52252672]
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[ 0.59448666]
[ 0.31521163  0.56582391  0.48835248  0.49868071  0.47202654  0.57204277
  0.59093353  0.49729221  0.44926333  0.50972121]
[ 1.9048442]
[ 0.42081869  0.61848528  0.61691017  0.43681101  0.39713054  0.5674851
  0.3690899   0.63749136  0.55582028  0.58873949]
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[-0.61596223]
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[-0.48610242]
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  0.58001389  0.44939746  0.39179413  0.5024105 ]
[ 0.22502441]
[ 0.53861327  0.62159084  0.51874614  0.4690148   0.30122019  0.49425533
  0.58955488  0.67593282  0.52984404  0.5915686 ]
[-0.78712282]
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  0.57563766  0.62415125  0.43100685  0.52082748]
[-0.61643532]
[ 0.42193212  0.60898514  0.58804947  0.44662122  0.37046924  0.45018326
  0.59036607  0.61023707  0.45644528  0.43080583]
[ 0.29344118]
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  0.57699875  0.60446092  0.53140967  0.59034755]
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[ 0.39788024  0.64723561  0.48048109  0.39403846  0.46602075  0.62028011
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[ 1.45467588]
[ 0.53595994  0.48911977  0.48325236  0.53349129  0.54293025  0.44693031
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[ 0.38019306  0.49461068  0.53146405  0.5538537   0.49156789  0.60336597
  0.5202946   0.39157451  0.41210207  0.45197238]
[-0.60406513]
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[-0.67434569]
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[-0.5305466]
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  0.51139408  0.58380733  0.48963051  0.5841837 ]
[ 1.65906875]
[ 0.70241989  0.66302388  0.43211215  0.5019799   0.42315866  0.38300684
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[-0.32082328]
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  0.42720224  0.57039068  0.54593518  0.61570267]
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[ 0.92123835]
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[ 0.57844893]
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  0.55106518  0.40118832  0.50593771  0.45768694]
[ 0.64378397]
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[ 1.02698624]
[ 0.52905593  0.5471212   0.38838113  0.57681305  0.58294603  0.47769494
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[ 0.82291644]
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[ 1.64392034]
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[ 0.31259205]
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[ 0.44807149]
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[ 0.39148071]
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[ 0.29468264]
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[ 0.84354809]
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[ 0.46821255]
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[ 0.52255235]
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[ 0.77234572]
[ 0.65168311  0.60314718  0.33514694  0.52014853  0.59741675  0.30936504
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[ 0.35795441]
[ 0.35574573  0.54610447  0.6090168   0.54840937  0.38617723  0.62055919
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[ 0.18200537]
[ 0.45717054  0.40775613  0.73162011  0.43219655  0.30350212  0.42736719
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[ 0.35928452  0.46840817  0.56779762  0.44998967  0.52449911  0.46620146
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[-0.15540638]
[ 0.37350772  0.58513073  0.59274516  0.47599817  0.41952411  0.64541697
  0.36161396  0.54480228  0.56344196  0.61175582]
[ 1.26513365]
[ 0.49891314  0.63091143  0.55576004  0.4926624   0.51870892  0.5430951
  0.48931828  0.62375915  0.34394357  0.46774789]
[-0.38715989]
[ 0.57706795  0.57599825  0.65070143  0.44820205  0.29463744  0.42304591
  0.62599603  0.64044345  0.33978023  0.58440048]
[-0.8231198]
[ 0.4049448   0.65973417  0.56503524  0.49234797  0.50703817  0.43887696
  0.55927268  0.71107197  0.54144042  0.40775653]
Progress: 10.0% ... Training loss: 0.828 ... Validation loss: 1.318[-0.19804875]
[ 0.59827847  0.50203023  0.58033952  0.4140166   0.54913047  0.42909235
  0.54103836  0.46167342  0.49945158  0.49029658]
[ 0.70086788]
[ 0.44530635  0.65957505  0.40421333  0.46575033  0.65665197  0.44927056
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[ 0.68788757]
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  0.39734703  0.60077808  0.56745643  0.49595737]
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[ 0.50076478  0.6935047   0.39036324  0.5541654   0.50400264  0.42127602
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  0.39697219  0.55798625  0.6424829   0.5120941 ]
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[ 0.37599851]
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[ 0.49250045  0.5685636   0.60427103  0.37824319  0.62632367  0.46024561
  0.59816376  0.55461366  0.47921511  0.57175571]
[ 1.30323733]
[ 0.58559792  0.59738098  0.49555767  0.47291983  0.65392504  0.33064358
  0.55260278  0.47991677  0.40305342  0.40685992]
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[-0.82739419]
[ 0.60187809  0.52554982  0.5739799   0.57578451  0.49540404  0.55749126
  0.55144645  0.46454485  0.45008934  0.41977565]
[ 0.39879124]
[ 0.69057091  0.70906242  0.36788463  0.52350529  0.53868377  0.39259968
  0.64531895  0.45327572  0.37294636  0.52590473]
[ 2.49875555]
[ 0.51133358  0.7055674   0.45675699  0.4006808   0.58506723  0.31275528
  0.59498689  0.62906304  0.35140163  0.32937242]
[ 0.80326053]
[ 0.46809618  0.59526372  0.57049988  0.42383687  0.50291335  0.57103466
  0.54228725  0.66762204  0.42229346  0.62373585]
Progress: 10.3% ... Training loss: 0.825 ... Validation loss: 1.310[ 0.68685394]
[ 0.4823426   0.60870461  0.44889363  0.45661354  0.66320344  0.42158299
  0.51699725  0.5839558   0.49157663  0.46216125]
[ 0.75992451]
[ 0.49671256  0.62778053  0.31290518  0.56869042  0.61787576  0.3612911
  0.62061186  0.33587874  0.43788661  0.41060301]
[ 0.19824173]
[ 0.60721996  0.6361826   0.48791365  0.4817803   0.39723494  0.37777655
  0.65570579  0.47072754  0.41242594  0.49130747]
[-0.80026926]
[ 0.54969242  0.53425367  0.68772384  0.55683842  0.30881863  0.54145983
  0.47015169  0.57227129  0.41344215  0.53115178]
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[ 0.45094447  0.41615706  0.68719391  0.46901849  0.26186439  0.57212448
  0.5782002   0.58367311  0.56243066  0.55692884]
[ 0.16647732]
[ 0.40903745  0.64453005  0.64097958  0.41379735  0.47960203  0.43522344
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  0.55450253  0.53675231  0.52626712  0.49620527]
[ 1.15226507]
[ 0.65186141  0.6596748   0.34592126  0.39472666  0.68460353  0.42846778
  0.51997559  0.35349653  0.49350131  0.4025828 ]
[ 0.99546497]
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[ 1.41343305]
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[ 0.0409229]
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[ 1.78606916]
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[ 0.70453366]
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[ 0.29777607]
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  0.4349671   0.65700764  0.64762796  0.55599002]
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[ 0.08828873]
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[ 0.11034542]
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[ 0.80288761]
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[ 0.61402965]
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[ 0.25031917]
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[ 0.07382435]
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[ 2.64127102]
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[ 1.1114779]
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[ 0.13770279]
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[ 0.13770279]
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[ 1.17826274]
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[ 2.05942115]
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[ 3.21532503]
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[ 0.27938232]
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[ 1.86412815]
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[ 2.497293]
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[ 0.40919933  0.54589611  0.56267006  0.49367785  0.52253672  0.43980925
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[ 2.13081736]
[ 0.50242741  0.53130567  0.50339884  0.42595689  0.70008825  0.32488411
  0.68863842  0.507042    0.44334019  0.36971481]
[ 1.78448514]
[ 0.45103118  0.48907748  0.59091566  0.42616276  0.47990374  0.33701396
  0.45669591  0.42412158  0.37994711  0.48015103]
[ 0.34366684]
[ 0.4704433   0.59532072  0.50595243  0.37164698  0.68684563  0.4050259
  0.46181651  0.50256422  0.50940859  0.49677245]
[-0.8504721]
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[ 1.26346475]
[ 0.67381861  0.70180355  0.34451164  0.42833713  0.6135267   0.34975506
  0.69017937  0.49118817  0.27069404  0.56326119]
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[ 0.413414    0.74014991  0.46715606  0.44604593  0.40774027  0.56784973
  0.53677662  0.55599251  0.47567258  0.50088569]
[ 0.38935832]
[ 0.37170638  0.57955639  0.66524658  0.30575137  0.39192142  0.49430306
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[ 2.78661971]
[ 0.41726105  0.48881168  0.50846575  0.44033898  0.58781463  0.46826288
  0.53558044  0.34573263  0.41578093  0.34856671]
[ 1.1349224]
[ 0.49682104  0.57024816  0.38204919  0.4737601   0.67023081  0.42686754
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[ 1.27214959]
[ 0.47154221  0.56565287  0.46863396  0.52382385  0.62354968  0.53812423
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[ 0.00711232]
[ 0.38603795  0.48352923  0.61328872  0.40689299  0.5110597   0.37943521
  0.57446915  0.43057188  0.50063944  0.37944647]
[ 0.35521807]
[ 0.4003939   0.59826882  0.34943186  0.50194054  0.50031289  0.61058775
  0.53397449  0.57651125  0.52287786  0.51202473]
[ 0.73817126]
[ 0.63853906  0.6812402   0.3178475   0.4219122   0.65980963  0.36110428
  0.68324317  0.47559498  0.35187729  0.58869606]
[ 0.20675356]
[ 0.55252835  0.54590682  0.46069773  0.48910903  0.60063191  0.38348485
  0.58531377  0.57310596  0.42795327  0.54581901]
[ 0.23495432]
[ 0.42006913  0.50387166  0.47097974  0.52237093  0.33808476  0.68059296
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[ 0.55981687  0.61842211  0.42582417  0.44301883  0.54794423  0.36474017
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[ 0.09458117]
[ 0.55598802  0.60728745  0.5139972   0.43688075  0.48240867  0.43973945
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[ 0.18075586]
[ 0.3624907   0.53561111  0.59987929  0.39141981  0.50433007  0.35759608
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[ 0.38640567  0.50593592  0.50099757  0.45376317  0.50034041  0.32355963
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[ 0.41229031  0.51079727  0.62713793  0.54968629  0.25266704  0.53182579
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[ 0.56243306  0.49753203  0.62110897  0.48828811  0.48737714  0.49189957
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[ 0.40638736  0.53069281  0.59318533  0.45767927  0.37577821  0.38206284
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[-0.45220583]
[ 0.41892279  0.44727978  0.72842476  0.4213154   0.26338741  0.51563654
  0.45244712  0.62956408  0.61936974  0.57621887]
[-0.74782373]
[ 0.43413726  0.46758148  0.6159236   0.5174128   0.49481656  0.54451842
  0.45243972  0.68130156  0.6107593   0.54363569]
[-0.44454441]
[ 0.63229626  0.62329316  0.60368171  0.41958054  0.38847254  0.40297816
  0.51014474  0.39556317  0.4634468   0.58451252]
[-0.82676595]
[ 0.38843231  0.54756545  0.6854024   0.3315649   0.45415396  0.49727947
  0.51801366  0.60034993  0.59654508  0.57745255]
[ 0.23497752]
[ 0.45210095  0.61140366  0.66898519  0.3389875   0.58905577  0.35343268
  0.64202747  0.53363584  0.37204736  0.36440638]
[ 1.32980479]
[ 0.47348804  0.54417872  0.64738299  0.37747641  0.44007542  0.47910718
  0.57821534  0.59662376  0.46776644  0.4007564 ]
[ 0.10514303]
[ 0.52222727  0.58814422  0.54353801  0.40178155  0.66069294  0.36390989
  0.56468802  0.50668934  0.38156951  0.25520656]
Progress: 10.6% ... Training loss: 0.822 ... Validation loss: 1.303[-0.57457372]
[ 0.55885919  0.5600101   0.30617246  0.5316828   0.61424719  0.50506091
  0.54117802  0.25120366  0.3818396   0.41326199]
[ 0.19905196]
[ 0.47931053  0.57431916  0.59391175  0.30120181  0.51823334  0.45231878
  0.56285064  0.66894644  0.59445335  0.56866521]
[-0.843236]
[ 0.31973259  0.38193914  0.6720936   0.37371816  0.48535601  0.42732029
  0.70064361  0.48709085  0.40710511  0.52140739]
[-0.70339532]
[ 0.27531628  0.3987958   0.72057743  0.36636093  0.37611859  0.50656228
  0.46151774  0.4879575   0.53252035  0.63563428]
[ 0.69857021]
[ 0.48756935  0.65336525  0.49145354  0.45102541  0.51322891  0.47378449
  0.44417605  0.60088522  0.5203301   0.58973944]
[ 0.04185183]
[ 0.52083748  0.54396087  0.42947158  0.4996196   0.4956722   0.27133489
  0.55267862  0.54828465  0.44444266  0.38047749]
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[ 0.43549181  0.6360178   0.59712716  0.35711721  0.41664044  0.47181991
  0.54118982  0.63750148  0.50285035  0.54982964]
[-0.4056847]
[ 0.52939079  0.67740415  0.2391761   0.57974559  0.42880539  0.36296777
  0.645251    0.54873964  0.45092634  0.58307684]
[-0.8904235]
[ 0.36944727  0.58879204  0.70623193  0.5167508   0.33304067  0.48605479
  0.53028046  0.55016593  0.32155931  0.44206343]
[ 0.56420113]
[ 0.55204903  0.62541114  0.56271503  0.44540854  0.47035496  0.41452919
  0.60690851  0.44018697  0.44449655  0.35927327]
[-0.88093528]
[ 0.53517141  0.41005261  0.465229    0.49685269  0.56384902  0.42626318
  0.51962047  0.4741205   0.46524397  0.4013143 ]
[ 1.56239295]
[ 0.45222189  0.66209679  0.51155317  0.4013453   0.62426904  0.33003939
  0.69499129  0.62016458  0.35721704  0.57761444]
[-0.69047507]
[ 0.38407225  0.494008    0.65400308  0.55397871  0.42355599  0.63545598
  0.42551162  0.68056891  0.58402782  0.55255968]
[-0.87922925]
[ 0.62460561  0.58998602  0.49885079  0.58313191  0.5000399   0.53142896
  0.5740241   0.47005632  0.43434038  0.42385246]
[-0.84806475]
[ 0.44055607  0.56352712  0.5194263   0.52200943  0.47560945  0.52066527
  0.51184196  0.54615864  0.42503083  0.58550538]
[ 1.20582293]
[ 0.54626885  0.5690199   0.38410283  0.49182488  0.68267356  0.2222827
  0.64207214  0.44787878  0.43375785  0.50599886]
[-0.82418789]
[ 0.48707782  0.50473943  0.58610857  0.48047026  0.47301317  0.57655935
  0.46030996  0.62366854  0.62502439  0.44500022]
[-0.46825046]
[ 0.29318285  0.49859901  0.65838358  0.49582668  0.39383157  0.5162841
  0.52813486  0.63862695  0.50731075  0.60936163]
[ 0.25461333]
[ 0.47686451  0.59799857  0.40604237  0.44900688  0.55680788  0.51675929
  0.4621469   0.34582399  0.50111945  0.46775013]
[ 2.11071958]
[ 0.46418091  0.56451227  0.47342839  0.51956873  0.54042108  0.45786512
  0.46503609  0.56724741  0.43690935  0.50240992]
[-0.09610356]
[ 0.46017377  0.6718241   0.51677955  0.40610677  0.54901791  0.60806808
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[-0.07195545]
[ 0.53606525  0.55478287  0.41408073  0.51141869  0.48272162  0.3775629
  0.53856578  0.44773047  0.40420624  0.62100631]
[ 0.36384851]
[ 0.41245175  0.64364338  0.38799364  0.54079373  0.53564766  0.57568851
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[-0.03759794]
[ 0.37181808  0.48472892  0.61707102  0.32750614  0.51134059  0.44655719
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[-0.8731642]
[ 0.37230359  0.56251802  0.67966481  0.39651383  0.54148596  0.44617185
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[-0.8358981]
[ 0.51045118  0.49426945  0.53921718  0.49491695  0.45296772  0.55719523
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[-0.03713031]
[ 0.51201528  0.57483368  0.44093562  0.47573754  0.56274731  0.46330852
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[-0.86657262]
[ 0.45336717  0.54559041  0.51036978  0.51582627  0.45866414  0.59373699
  0.47597198  0.49907495  0.47596312  0.50064475]
[ 0.20878472]
[ 0.46120601  0.57550643  0.60301168  0.26728966  0.51716113  0.32262046
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[ 0.37407503  0.56820049  0.59176533  0.42399415  0.49133084  0.44203889
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[-0.93209173]
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[-0.18433362]
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[-0.40370951]
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[ 0.81024925]
[ 0.46905705  0.56046398  0.49477449  0.3992942   0.65687682  0.37538436
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[-0.59405986]
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[-0.74803433]
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[-0.90409059]
[ 0.52191589  0.60138898  0.62766553  0.45925443  0.49305607  0.39802569
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[ 0.44373865]
[ 0.45573396  0.50039623  0.54811319  0.4051904   0.50480083  0.47367123
  0.42200176  0.53644167  0.5379304   0.56411343]
[ 0.05657655]
[ 0.60219567  0.63316587  0.39912979  0.47445407  0.51226277  0.46654228
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[-0.23883524]
[ 0.45882921  0.59273479  0.66126606  0.36627765  0.4164067   0.48660527
  0.44970852  0.32493063  0.45887379  0.40638537]
[ 0.14077633]
[ 0.53896072  0.46614214  0.4370477   0.52279353  0.62608836  0.51617103
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[-0.92294656]
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[ 3.04114647]
[ 0.34889439  0.53773757  0.63947969  0.37919984  0.43207838  0.54641123
  0.4373749   0.54798835  0.56806543  0.42667708]
[-0.28214742]
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[ 0.17779887]
[ 0.31102883  0.48411898  0.6655433   0.4030742   0.47484293  0.54160578
  0.43770213  0.54944069  0.51208337  0.65638601]
[ 0.60605303]
[ 0.45773508  0.59473256  0.49535727  0.59043345  0.46448266  0.55075001
  0.45260869  0.39474444  0.50595983  0.47455269]
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[ 1.16983571]
[ 0.42013283  0.49135318  0.45323113  0.48005235  0.61478022  0.35723788
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[ 1.08119646]
[ 0.615557    0.49668833  0.55403646  0.33249309  0.68246291  0.20124555
  0.50883048  0.37308853  0.33460653  0.40204516]
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[ 0.70222914]
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[ 0.57572474]
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[ 1.0106]
[ 0.49992744  0.6108211   0.34513927  0.49946194  0.5159711   0.43720712
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[ 1.15621275]
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[ 0.32325154]
[ 0.52108471  0.6309954   0.48594031  0.3687537   0.71015542  0.26922506
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[ 0.62247276]
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[ 0.01534683]
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[ 1.63817213]
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[ 0.33255208]
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[ 0.31512077]
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[ 0.63182146]
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[ 1.17890505]
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[ 0.43165501]
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[ 0.10699453]
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[ 0.66447187]
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[ 1.16771422]
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[ 0.14229458]
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[ 0.33746598]
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[ 0.40874987  0.51092575  0.57400261  0.36410278  0.52586088  0.40650124
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[ 0.60558555  0.51240951  0.50390982  0.47901306  0.6464225   0.42554334
  0.56131938  0.54926983  0.4846398   0.43023909]
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[ 0.45082199  0.54257845  0.50769107  0.49889716  0.65664395  0.46011593
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[ 3.13663696]
[ 0.45043559  0.64097624  0.47222148  0.40269672  0.66705329  0.30749996
  0.65065992  0.50505513  0.37633098  0.38655192]
[ 0.55661404]
[ 0.55403821  0.65301089  0.53845321  0.39857287  0.43717674  0.38312198
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  0.54195364  0.44069504  0.44240329  0.44512818]
[ 1.35303238]
[ 0.58880494  0.63853416  0.35357424  0.45273575  0.78524226  0.20727468
  0.6582219   0.37567523  0.43700926  0.38676207]
[ 0.55115207]
[ 0.4695867   0.55120169  0.48815704  0.48357918  0.52207455  0.43398058
  0.47728785  0.41016542  0.43572372  0.51720644]
[ 0.4032055]
[ 0.54796471  0.56519534  0.54233749  0.44408074  0.42192071  0.3586296
  0.69895603  0.42639599  0.32944601  0.49913134]
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[ 0.31800066  0.56484888  0.54004062  0.5535716   0.37342826  0.53988286
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[ 0.43606658  0.62947142  0.52591373  0.46449535  0.29284226  0.56003991
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[ 1.14947352]
[ 0.6511124   0.62966559  0.52798132  0.48279196  0.54403901  0.36621676
  0.55331876  0.44568415  0.40392423  0.4246538 ]
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[ 0.56290268  0.65084844  0.40708696  0.52776205  0.51804474  0.51388253
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[ 0.75612519]
[ 0.4959617   0.61259704  0.52774743  0.42259825  0.68182723  0.30792431
  0.59407439  0.56711077  0.3216689   0.41561319]
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[ 0.36223123  0.41404081  0.62185972  0.4452433   0.37525916  0.57257127
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[ 1.23065335]
[ 0.5608781   0.53571431  0.49046964  0.5603401   0.58798734  0.43553367
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[ 1.96760187]
[ 0.3453945   0.45794457  0.6652266   0.42668871  0.40073075  0.48850173
  0.56260043  0.6060048   0.53252492  0.38672074]
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[ 0.40289569  0.56984193  0.68430672  0.3353576   0.43057193  0.59127071
  0.36997762  0.50699625  0.52064419  0.51362963]
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[ 0.33841199  0.62775019  0.48465039  0.4256153   0.36085652  0.50580533
  0.61352404  0.58613606  0.51451124  0.48287957]
[ 0.49088035]
[ 0.46051346  0.66080203  0.5466439   0.49558888  0.47180268  0.47881635
  0.53507605  0.42899264  0.46520667  0.36430049]
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[ 0.28169894  0.4883552   0.60289368  0.50292138  0.41596254  0.75117705
  0.38182277  0.61091289  0.5241004   0.62511388]
[-0.62365384]
[ 0.51964141  0.55422088  0.43944884  0.59788812  0.53901522  0.5185052
  0.46433821  0.49955997  0.54152392  0.5079038 ]
[-0.03153098]
[ 0.54154026  0.68677874  0.32290103  0.42810935  0.57118672  0.35135009
  0.60540584  0.36629203  0.35017048  0.42217256]
[ 0.16368322]
[ 0.48143007  0.58005916  0.66930948  0.44044309  0.31165712  0.50828717
  0.55999027  0.71316295  0.52196278  0.50794926]
[-1.02299353]
[ 0.45590505  0.41123207  0.62831555  0.38236957  0.50951304  0.3614099
  0.60129081  0.463523    0.44658895  0.39738143]
Progress: 10.9% ... Training loss: 0.819 ... Validation loss: 1.309[-0.82262616]
[ 0.41855189  0.4193687   0.75014967  0.52849834  0.43433431  0.52370485
  0.50398537  0.44622939  0.36330291  0.41743281]
[ 0.6891594]
[ 0.63064948  0.65953573  0.33804754  0.55299054  0.60209709  0.37954005
  0.62053322  0.41514718  0.32151866  0.44365777]
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  0.5721528   0.32166265  0.44025127  0.49376297]
[-0.21572151]
[ 0.45283581  0.45510515  0.56384866  0.42462601  0.43680376  0.46373785
  0.54762126  0.5838168   0.49655642  0.53680381]
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[ 0.53163221  0.66447949  0.50696716  0.55321162  0.24605109  0.45843146
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[ 0.47181277  0.67188583  0.47514247  0.41382548  0.42086372  0.51388408
  0.52176962  0.47742434  0.44897506  0.45243438]
[ 0.15945632]
[ 0.40390229  0.59310587  0.42711116  0.37323121  0.60834253  0.21624535
  0.5687939   0.29994866  0.38554826  0.56577261]
[ 1.45517987]
[ 0.29006755  0.53791877  0.71786217  0.41546813  0.48829939  0.46574832
  0.40942925  0.56899763  0.51210148  0.62265829]
[ 1.38240682]
[ 0.43903485  0.53188547  0.4832714   0.47647845  0.62290131  0.27427464
  0.63054562  0.41832803  0.43700052  0.44219696]
[-0.58023803]
[ 0.45091269  0.50675716  0.73032599  0.41391213  0.21426761  0.61581402
  0.49578789  0.57705604  0.5986959   0.63404083]
[-0.78882871]
[ 0.36787597  0.5072749   0.70831666  0.50529109  0.45235471  0.59629268
  0.59461827  0.72524761  0.56560034  0.42464538]
[ 0.9567694]
[ 0.56472114  0.52664068  0.5279175   0.44187306  0.59966521  0.32878188
  0.54711544  0.50570357  0.37287145  0.4622939 ]
[-0.92708403]
[ 0.43811208  0.52444285  0.58719767  0.45630853  0.54296515  0.42399212
  0.50580002  0.39452484  0.47647872  0.4924435 ]
[-0.78484109]
[ 0.51404694  0.63350149  0.52914171  0.3993263   0.62162223  0.52590537
  0.5945835   0.63214707  0.50164212  0.47595254]
[ 1.83070245]
[ 0.45690106  0.61628192  0.54521237  0.48358983  0.27542239  0.48948892
  0.63537429  0.64467682  0.49217721  0.49133618]
[ 1.13096656]
[ 0.38524133  0.59539291  0.53729515  0.47631727  0.50174191  0.52192871
  0.47456236  0.41909862  0.3816597   0.52576956]
[ 0.02373923]
[ 0.47684523  0.61617771  0.43446177  0.47712148  0.61644578  0.33447179
  0.59238804  0.53190033  0.35805253  0.52768861]
[-0.05297346]
[ 0.38000948  0.57405203  0.5260418   0.48832165  0.47720181  0.66485156
  0.43587694  0.43132019  0.41476824  0.49431615]
[-0.90188729]
[ 0.52860697  0.58259089  0.51017132  0.4620285   0.43482302  0.47722202
  0.46160367  0.4663428   0.52708705  0.53826027]
[-0.20435648]
[ 0.26648162  0.50914699  0.65248084  0.38183989  0.40579065  0.68594827
  0.40777578  0.52057718  0.47882315  0.62814598]
[-0.85566251]
[ 0.32660329  0.6323083   0.51994766  0.51026511  0.5376576   0.572823
  0.51928375  0.63969656  0.41078217  0.46600146]
[-0.14833361]
[ 0.58174242  0.57489745  0.42503298  0.5208465   0.6423974   0.50027833
  0.44428303  0.45543495  0.39172954  0.42766029]
[-0.52200892]
[ 0.54190352  0.60419409  0.35909878  0.46531311  0.59376159  0.42086329
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[-0.19928297]
[ 0.39621679  0.69888249  0.40508221  0.48583358  0.28648505  0.59639778
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[-0.1627367]
[ 0.46245956  0.53721384  0.62200534  0.39372769  0.40271478  0.36971761
  0.57912629  0.66041125  0.45321389  0.48980454]
[ 0.64134365]
[ 0.50532918  0.56253103  0.5903902   0.45942503  0.44184757  0.57398718
  0.50989537  0.60817943  0.42514092  0.57924507]
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[ 0.40284303  0.35645832  0.72263685  0.46441996  0.31571249  0.48131652
  0.47127604  0.56906591  0.46591964  0.56057608]
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[ 0.49775131  0.55415742  0.51684286  0.4929483   0.40512811  0.51238884
  0.5637514   0.51488239  0.47584428  0.48229179]
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  0.61446172  0.59127289  0.46651186  0.5216667 ]
[-0.45972302]
[ 0.42304731  0.63815374  0.47188507  0.47600513  0.64305837  0.40934885
  0.55141131  0.5674011   0.51807577  0.32451734]
[ 0.93230188]
[ 0.38392756  0.5020782   0.56167626  0.42727148  0.39969437  0.44046837
  0.53414146  0.52994055  0.55557709  0.54121173]
[ 3.35770339]
[ 0.45428149  0.62237632  0.53975816  0.48154379  0.47498513  0.50004881
  0.56679074  0.53103058  0.32466924  0.52654876]
[-0.72358823]
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[ 0.32073517]
[ 0.57875098  0.60243983  0.53681169  0.53706845  0.34584558  0.48726802
  0.60908903  0.36506629  0.45639538  0.43289112]
[ 1.93644817]
[ 0.66553307  0.62698025  0.43268143  0.47987945  0.57199139  0.4844391
  0.54206107  0.48406541  0.41424551  0.34330153]
[ 3.25610344]
[ 0.51276319  0.47752832  0.60261515  0.42382484  0.5792176   0.37900793
  0.57611087  0.59513676  0.45721482  0.35295719]
[-0.40311426]
[ 0.38596751  0.52488537  0.66035985  0.40053033  0.29679815  0.66419021
  0.38437939  0.60170132  0.55482995  0.6507048 ]
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[ 0.31236703  0.52506587  0.74345954  0.36579287  0.47045772  0.58935071
  0.45040048  0.48311953  0.52194084  0.5933669 ]
[-0.44273388]
[ 0.46504179  0.5614045   0.73850216  0.42741576  0.44145939  0.49003444
  0.52060018  0.55984598  0.30995833  0.40549209]
[ 0.84086331]
[ 0.46383637  0.6517225   0.60408432  0.48691354  0.48205366  0.3881888
  0.53872597  0.66557598  0.33310465  0.45012272]
[-0.61117903]
[ 0.42593102  0.48357774  0.70331072  0.44198471  0.25452114  0.64335881
  0.48140361  0.56099001  0.54124323  0.66541709]
[ 1.07583859]
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[ 0.56389573]
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[ 2.24276311]
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[ 0.04710189]
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[ 0.65735498]
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[ 0.40435594]
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[ 0.29248849]
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[ 1.44199431]
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[ 1.84551659]
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[ 0.17783285]
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[ 0.4101535]
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[ 0.8553538]
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[ 0.62486318]
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[ 0.10505305]
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[ 1.66696528]
[ 0.56920407  0.6810069   0.378121    0.38232808  0.7104762   0.24100401
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[ 0.46297083  0.73975721  0.41464387  0.60590799  0.26773577  0.49223148
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[ 0.55017947  0.57738057  0.457883    0.50334687  0.51048152  0.50983691
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[ 0.29913869  0.47285773  0.76793277  0.32493391  0.26567469  0.47611434
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[-0.32419666]
[ 0.49960926  0.63424755  0.44056135  0.5015509   0.47604096  0.36565149
  0.62036985  0.53994374  0.4707931   0.51245395]
[ 0.01525184]
[ 0.48035745  0.58308682  0.4958907   0.45621697  0.49682573  0.5017608
  0.37343577  0.39744891  0.45406162  0.52585224]
[ 1.40536785]
[ 0.50914288  0.66600398  0.40775715  0.4340591   0.69863828  0.38288087
  0.5512947   0.5091643   0.45807351  0.33578507]
[-0.71547535]
[ 0.57724878  0.55645585  0.4610296   0.54697098  0.49046365  0.3586712
  0.50090893  0.70890193  0.52016319  0.53922429]
[-0.91102865]
[ 0.62300933  0.58401638  0.5747606   0.50272361  0.43804815  0.43247804
  0.40728258  0.58183441  0.54929095  0.45724154]
Progress: 11.1% ... Training loss: 0.817 ... Validation loss: 1.301[-0.78939337]
[ 0.40281328  0.52401677  0.42106692  0.61200599  0.4128641   0.61042751
  0.58868553  0.59151842  0.46602353  0.58143811]
[-1.03982511]
[ 0.48248984  0.50847292  0.55366074  0.45160625  0.42573346  0.37528305
  0.65322467  0.40995366  0.31960206  0.5332617 ]
[-0.29056939]
[ 0.57694456  0.63219172  0.37942977  0.40052974  0.77200595  0.29561654
  0.68467612  0.39967406  0.40908382  0.41682045]
[-0.73062312]
[ 0.46406972  0.55312869  0.64478033  0.48888767  0.40317708  0.5639706
  0.4758384   0.64645871  0.51704145  0.47782542]
[ 0.67351428]
[ 0.49004031  0.53320587  0.42811864  0.47434247  0.66035995  0.43714274
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  0.49687306  0.60604056  0.56325049  0.57820837]
[-0.34683621]
[ 0.45994592  0.61153131  0.46487107  0.4698151   0.45187754  0.42555149
  0.57664196  0.76923162  0.59590177  0.53129691]
[ 0.41640207]
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  0.47295733  0.51000668  0.5239485   0.58445851]
[-0.92384044]
[ 0.52768315  0.52814152  0.59862461  0.50018066  0.44307778  0.39989276
  0.57452471  0.50460287  0.38338917  0.51180914]
[ 1.78648928]
[ 0.37901976  0.53655003  0.53387013  0.42562327  0.54055388  0.57237647
  0.47212496  0.51139208  0.44616305  0.57163159]
[-0.71848085]
[ 0.28362476  0.54139925  0.76767308  0.32374527  0.49375993  0.57411832
  0.4894388   0.49137971  0.44124095  0.59679556]
[-0.73661327]
[ 0.43327791  0.51583509  0.58871714  0.59055584  0.40057189  0.60869094
  0.45919714  0.67397452  0.5788802   0.51524343]
[ 2.40277138]
[ 0.55580202  0.6659477   0.39830194  0.44301206  0.5498396   0.3747359
  0.6232197   0.54761039  0.25326268  0.48319751]
[-0.95393456]
[ 0.45549373  0.62778576  0.4813449   0.44640384  0.50198776  0.47505461
  0.48344636  0.46462118  0.42248957  0.63129778]
[-0.62625015]
[ 0.44020437  0.52237072  0.49386394  0.55678147  0.61147285  0.40496186
  0.54604566  0.39709368  0.44237709  0.41689001]
[-0.72139526]
[ 0.36472061  0.61492742  0.58372917  0.61807527  0.3723524   0.52578914
  0.61154675  0.65386487  0.41332904  0.47873017]
[ 0.32263117]
[ 0.34107706  0.53795047  0.57285249  0.40663186  0.49044682  0.43017072
  0.57576027  0.4924159   0.58513258  0.40548237]
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[ 0.86338935]
[ 0.43489881  0.5852291   0.46109859  0.45285531  0.55096608  0.51893571
  0.51517184  0.62168151  0.48479332  0.52041124]
[-0.9474777]
[ 0.34805189  0.63507541  0.50563412  0.46087498  0.41553402  0.39942615
  0.61165538  0.63601631  0.46111435  0.57657585]
[ 0.24857178]
[ 0.49505553  0.57222575  0.62632235  0.46882248  0.34600704  0.53454696
  0.53061049  0.53685054  0.54478493  0.51155625]
[ 3.15453839]
[ 0.36156624  0.51577518  0.55106183  0.40233319  0.5193215   0.49508561
  0.55148532  0.56402817  0.49121825  0.48799338]
[-0.45941831]
[ 0.48450289  0.52986076  0.43844793  0.58590586  0.49762178  0.53989194
  0.51636697  0.4958919   0.5078411   0.46286367]
[-0.88780713]
[ 0.30669672  0.34595223  0.58605365  0.43211233  0.57903347  0.48318125
  0.50148953  0.45585605  0.41216939  0.45603583]
Progress: 11.4% ... Training loss: 0.815 ... Validation loss: 1.315[-0.09284158]
[ 0.55457005  0.6686687   0.32857719  0.43582505  0.71225458  0.38422525
  0.66861847  0.28116439  0.34012431  0.41250294]
[ 0.04102753]
[ 0.3491787   0.62728838  0.55258411  0.47736661  0.4465589   0.4239894
  0.56643581  0.56448247  0.53398225  0.44591341]
[ 0.00791245]
[ 0.50359482  0.53892485  0.4743196   0.47333175  0.75361042  0.28469136
  0.60396537  0.46584845  0.43283966  0.42536333]
[-0.15185515]
[ 0.55164412  0.64965077  0.44762703  0.49751692  0.46563256  0.51099137
  0.51060106  0.43340867  0.40446172  0.43918028]
[ 0.11057396]
[ 0.49372438  0.5846385   0.64784322  0.34832646  0.43447486  0.36860246
  0.46704127  0.4685264   0.56136877  0.34684612]
[ 0.27379672]
[ 0.52886893  0.40063854  0.562792    0.48420458  0.38172249  0.43649867
  0.5077304   0.50729372  0.54290853  0.33602609]
[-0.67191502]
[ 0.52078586  0.55711446  0.56590693  0.44473375  0.50529453  0.34024063
  0.4426142   0.51001832  0.45604269  0.49945282]
[ 0.25835893]
[ 0.48311652  0.48722027  0.54752806  0.47926691  0.34649159  0.37369252
  0.6061531   0.38054662  0.39981483  0.58755052]
[ 0.07424222]
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  0.56589178  0.3844285   0.47049912  0.36224375]
[-0.6769842]
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  0.46310288  0.471086    0.50017531  0.66917912]
[-0.78173134]
[ 0.45474571  0.49231505  0.56734349  0.51450477  0.44675559  0.57012164
  0.63860546  0.72391184  0.535039    0.58026792]
[-0.26514854]
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[-0.19922336]
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  0.50237825  0.64299109  0.5163526   0.71055229]
[ 0.76063516]
[ 0.27700617  0.43518319  0.62097973  0.37820259  0.50153252  0.4417231
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[-0.3614756]
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[-0.27435958]
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  0.44934253  0.6092145   0.58248249  0.67009797]
[-0.46955085]
[ 0.43339042  0.62503736  0.71149041  0.41789119  0.40590768  0.48207693
  0.51645106  0.51176467  0.35108233  0.50166838]
[-0.70340104]
[ 0.29112898  0.48102402  0.71032621  0.47286484  0.40514871  0.59569306
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[ 0.15947732]
[ 0.51719811  0.59199458  0.37071192  0.55886586  0.56872293  0.31968165
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[ 0.46550209]
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[-0.79308953]
[ 0.44005288  0.46314565  0.6490321   0.52455998  0.37748034  0.50241245
  0.63996732  0.66295308  0.44893025  0.51786497]
[ 1.60991637]
[ 0.50278966  0.65119789  0.44253274  0.39837145  0.57859054  0.33645238
  0.67252151  0.59834792  0.34756641  0.61412438]
[ 0.49436453]
[ 0.32045115  0.53456872  0.46413512  0.41233313  0.47855625  0.49825847
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[ 0.39427765]
[ 0.60433801  0.5711626   0.49030985  0.44015562  0.5984847   0.41739344
  0.55511509  0.35232727  0.3733858   0.35530014]
[-0.89127766]
[ 0.56392878  0.56768911  0.52655073  0.59036593  0.4589085   0.5880021
  0.46134362  0.49702405  0.52004552  0.46119414]
[-0.13469969]
[ 0.52453655  0.75445856  0.36428546  0.54528039  0.68113475  0.4381477
  0.56966499  0.31143079  0.27537548  0.34790602]
[ 1.8960882]
[ 0.68890579  0.69946567  0.30075084  0.49623933  0.59744413  0.37507129
  0.61633437  0.46780514  0.38576262  0.44247574]
[-0.80353857]
[ 0.45519863  0.47004823  0.54797963  0.51344211  0.53238048  0.4933216
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[-0.63656648]
[ 0.37399717  0.52959444  0.67950984  0.4265365   0.36492247  0.55843954
  0.43183739  0.53523754  0.43262605  0.51721199]
[ 1.1292846]
[ 0.40351453  0.4585227   0.61782695  0.49624757  0.45338959  0.54628405
  0.39659453  0.48145462  0.49906668  0.48308468]
[-0.86977022]
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[ 0.06245363]
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[ 0.09481722]
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[-1.03419297]
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[ 0.08572583]
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[ 1.20761422]
[ 0.55502451  0.58621393  0.44887559  0.42497066  0.52528308  0.39684422
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[ 0.26591083]
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[ 1.91626766]
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[ 1.10308372]
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[ 0.32947894]
[ 0.51519914  0.54934     0.48317997  0.47131565  0.59359624  0.33440211
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[ 0.54643305]
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[ 1.94509751]
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[ 1.90950215]
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[ 0.12367296]
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[ 0.24979135]
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[ 0.11093755]
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[ 2.14598403]
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[ 2.30695806]
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[ 0.19840265]
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[ 2.23945643]
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[ 0.1986964]
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[ 0.55021116]
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[ 0.51593438  0.57782069  0.58175181  0.5159748   0.46077244  0.41706103
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  0.54331078  0.54049544  0.46657552  0.53436572]
[ 1.54737798]
[ 0.41818604  0.61055241  0.60648577  0.36062864  0.55551074  0.35645908
  0.56936563  0.54154681  0.4415367   0.5069996 ]
[ 0.37104071]
[ 0.57301098  0.67221985  0.46806446  0.47420366  0.60802512  0.4997354
  0.56443959  0.55205899  0.42315989  0.46992401]
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[ 0.56922909  0.67257649  0.36274279  0.50173523  0.57770528  0.36726322
  0.73215476  0.48134705  0.36269852  0.43814054]
[-0.72165133]
[ 0.39731306  0.48031078  0.6141625   0.45310461  0.375405    0.53518367
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[-0.61567017]
[ 0.69037822  0.62342963  0.3328524   0.54840169  0.60477734  0.32708599
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[ 0.31771181]
[ 0.45525066  0.67602906  0.40049376  0.63560234  0.38965962  0.52031841
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[-0.82241945]
[ 0.3774117   0.62392643  0.58589919  0.61443636  0.38049804  0.50792894
  0.61746872  0.70699424  0.42740156  0.44241896]
[-0.8057037]
[ 0.31764081  0.37734615  0.67366518  0.37673008  0.47949415  0.42937416
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[-0.52662497]
[ 0.507294    0.59454156  0.48678617  0.46505985  0.3978974   0.54608101
  0.60369285  0.65415811  0.64774798  0.54833743]
[ 0.96369641]
[ 0.48711756  0.67790926  0.44596471  0.4685779   0.61237737  0.33777693
  0.57459931  0.56009193  0.33922892  0.40878743]
[ 0.26278069]
[ 0.53002894  0.58787394  0.460516    0.40479039  0.69561952  0.46811512
  0.57979833  0.38148136  0.42057573  0.42258487]
[-0.01305338]
[ 0.32273261  0.66071013  0.71035261  0.4230916   0.37938469  0.5674649
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[ 0.34441982  0.4176237   0.65550863  0.43822587  0.37357224  0.42376708
  0.56499395  0.67237041  0.58889898  0.42748857]
[-0.15316535]
[ 0.46122268  0.72126088  0.48123435  0.43175299  0.59687796  0.37059344
  0.55974233  0.3852801   0.35665444  0.48182573]
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[ 0.36424486  0.44586318  0.63149863  0.49697869  0.38290062  0.59956401
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[ 1.14914382]
[ 0.49413385  0.62241363  0.52224605  0.51897629  0.34855941  0.50143511
  0.49450569  0.54949199  0.45349025  0.52682687]
[-0.62454773]
[ 0.40188883  0.41471359  0.69102858  0.51097351  0.30099873  0.57960509
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[ 0.4949107   0.56655473  0.4439482   0.53916151  0.41429003  0.59211153
  0.52717645  0.3476332   0.45585287  0.50785151]
[-0.38124653]
[ 0.53772579  0.67881212  0.53175856  0.51675775  0.4334483   0.48942285
  0.605784    0.55249343  0.36617868  0.52255939]
[-0.98383385]
[ 0.50573869  0.62301878  0.45134025  0.56137417  0.41747969  0.3856674
  0.66482275  0.5802381   0.39633764  0.51364708]
[ 0.9621754]
[ 0.57614028  0.6542227   0.2337579   0.51827995  0.67328697  0.40263487
  0.61619083  0.36468722  0.36044465  0.42318439]
[-0.24979571]
[ 0.48258215  0.50496371  0.61932189  0.48984058  0.26117229  0.62631297
  0.46649254  0.54447392  0.60603132  0.65269147]
[ 0.06313201]
[ 0.42683208  0.57736611  0.43539228  0.41861041  0.51912598  0.51125521
  0.51421249  0.46884516  0.43983707  0.49699249]
[ 0.66174934]
[ 0.46000076  0.62199709  0.42554341  0.48865706  0.64536581  0.34446632
  0.63073182  0.39402191  0.45467002  0.40099746]
[-0.15769779]
[ 0.5934079   0.61240065  0.52243485  0.44593037  0.46434869  0.31443538
  0.73738911  0.58519776  0.34814448  0.56478746]
[-0.43452433]
[ 0.40498591  0.51348868  0.69440587  0.40383688  0.43643635  0.60619798
  0.41263587  0.60341103  0.52366034  0.43838604]
Progress: 11.7% ... Training loss: 0.813 ... Validation loss: 1.322[-0.36647333]
[ 0.41433312  0.64487755  0.47043453  0.5708002   0.39451909  0.49473048
  0.5901008   0.58456052  0.41899632  0.49555554]
[-0.01030594]
[ 0.4402776   0.61139893  0.41476065  0.38910588  0.61178984  0.43642901
  0.59989713  0.27021779  0.44192768  0.32921036]
[ 1.46937538]
[ 0.5288568   0.62903303  0.40528192  0.44053713  0.66779614  0.27683289
  0.62075331  0.38532941  0.36532432  0.49255502]
[ 2.93735011]
[ 0.56308752  0.61536172  0.6313167   0.34202172  0.66361553  0.34269495
  0.63723875  0.53839404  0.22999178  0.4005292 ]
[ 0.69627372]
[ 0.61102996  0.64065879  0.60263724  0.41506221  0.5093797   0.45081442
  0.58840456  0.61360869  0.28695227  0.49390288]
[ 2.17057724]
[ 0.67171717  0.61975651  0.50270386  0.4463588   0.52464087  0.31213991
  0.58009921  0.56306297  0.37960724  0.41570455]
[ 0.00311009]
[ 0.5653788   0.69422797  0.46738117  0.40842669  0.40181192  0.39121238
  0.56425634  0.41679712  0.35001515  0.59549619]
[ 1.1603447]
[ 0.43314689  0.6004614   0.57411602  0.48784607  0.28521641  0.51656709
  0.58294289  0.72490155  0.45519457  0.66761095]
[-0.93977191]
[ 0.54732444  0.54740658  0.47625265  0.53934017  0.55764096  0.58294431
  0.50146852  0.50554094  0.554797    0.3491871 ]
[-0.24872952]
[ 0.38811436  0.64964363  0.59608343  0.33887556  0.54338116  0.39543702
  0.68063171  0.68074674  0.37024504  0.57164843]
[-0.11320712]
[ 0.56997632  0.67389167  0.36221616  0.50068319  0.57943151  0.36666888
  0.73258827  0.48067948  0.36158176  0.43701714]
[ 0.27056791]
[ 0.46503243  0.64657558  0.49404923  0.43173703  0.59769631  0.49007827
  0.58400276  0.62093358  0.53736782  0.37672915]
[-0.94662725]
[ 0.43574591  0.49825512  0.49279587  0.45822361  0.56330839  0.3150282
  0.51897128  0.56905712  0.4626234   0.48536372]
[-0.3724999]
[ 0.33687447  0.34463338  0.62483675  0.49327464  0.37323511  0.51277333
  0.5012716   0.55045663  0.58594029  0.68423761]
[-0.02164205]
[ 0.61652224  0.69676813  0.43031246  0.52153373  0.38271217  0.52706693
  0.61474831  0.63316094  0.49183889  0.60951583]
[-0.90617606]
[ 0.49327486  0.57219001  0.62176313  0.47724011  0.5022376   0.54113156
  0.55578475  0.62036087  0.4086658   0.50568959]
[-0.88380128]
[ 0.48723754  0.596175    0.6278735   0.39903943  0.4275927   0.49719926
  0.47624328  0.49440606  0.45435977  0.43267222]
[-0.94730869]
[ 0.39588774  0.57644155  0.57651792  0.37133331  0.60666283  0.58234237
  0.49187896  0.57180863  0.48665929  0.58942653]
[ 1.19087359]
[ 0.4759409   0.59379676  0.41700119  0.48385545  0.50030564  0.37920923
  0.59468643  0.50795219  0.39160828  0.45619183]
[ 1.09719977]
[ 0.618206    0.50194623  0.55190582  0.32918595  0.68801228  0.19975661
  0.51081371  0.37099453  0.3307968   0.39814002]
[-0.85044611]
[ 0.44758032  0.60265134  0.53275393  0.5017849   0.48617228  0.45883733
  0.59843535  0.502104    0.39877963  0.4357697 ]
[ 0.26559452]
[ 0.43247639  0.72138196  0.30384062  0.59492956  0.25204647  0.56491044
  0.58538521  0.74440928  0.45393671  0.68140713]
[ 1.10189586]
[ 0.31021704  0.49029506  0.54748537  0.43235504  0.56054916  0.46608956
  0.55866095  0.42253937  0.5168454   0.45400636]
[-0.07365593]
[ 0.5081344   0.64701647  0.36639733  0.57420709  0.49991273  0.5866512
  0.54295881  0.42898895  0.47080405  0.42668898]
[-0.89082602]
[ 0.47754253  0.57968322  0.64336164  0.45918978  0.47002322  0.53224361
  0.41714404  0.46739031  0.5053162   0.46283411]
[-0.156641]
[ 0.47552954  0.40615139  0.60492282  0.56179586  0.5221735   0.52771251
  0.47591811  0.42643672  0.51520114  0.46308934]
[-0.98462633]
[ 0.61141082  0.65290296  0.51614359  0.54429651  0.41493037  0.41405595
  0.64359936  0.61864609  0.42561575  0.52905063]
[-0.51230345]
[ 0.45566342  0.46957879  0.48257777  0.54054844  0.5134707   0.51347363
  0.52373857  0.44773735  0.50194756  0.50165879]
[-0.9293564]
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[-0.55086794]
[ 0.54198408  0.6310799   0.61828889  0.43716361  0.41025663  0.59591791
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[-0.21751494]
[ 0.51328303  0.59681252  0.4722679   0.52730032  0.38151439  0.52046198
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[-1.09210897]
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[ 0.72821612]
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[-0.00643582]
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[ 0.6541901]
[ 0.62383809  0.54235981  0.50181649  0.5160069   0.53914098  0.36406102
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[-0.66074496]
[ 0.53523123  0.66604442  0.50364704  0.40900077  0.40967157  0.43943475
  0.54136016  0.64937824  0.49663713  0.59682329]
[ 3.11223377]
[ 0.64157063  0.70401712  0.39066248  0.42929818  0.66052767  0.2768938
  0.6648699   0.50470047  0.35186167  0.32536343]
[-1.0016964]
[ 0.47930692  0.47458629  0.50968497  0.4972379   0.56428941  0.35138579
  0.57356873  0.34405168  0.43103634  0.433241  ]
[-0.26475875]
[ 0.62387931  0.73568644  0.31272486  0.50777882  0.6801015   0.51804182
  0.5179635   0.4183731   0.42142587  0.33937273]
[ 0.78340292]
[ 0.5828442   0.58955502  0.51146793  0.36335686  0.74537565  0.31640756
  0.63547088  0.58618553  0.34425312  0.38560794]
[ 0.95315422]
[ 0.66938124  0.6588369   0.35715105  0.45413186  0.60069343  0.35719243
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[ 0.44061361  0.37388184  0.53872877  0.50943701  0.51863989  0.61046744
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[ 1.87522291]
[ 0.49391643  0.62353202  0.41499246  0.32736156  0.64285753  0.19833799
  0.58803317  0.47864049  0.3642461   0.52078535]
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[ 0.61706066  0.49223848  0.61240635  0.3868628   0.55692671  0.41943801
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[ 0.28246464]
[ 0.53840876  0.56420275  0.3688925   0.54104177  0.51216012  0.55670469
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[-0.40286258]
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[ 0.36787893  0.63011772  0.54779835  0.41085196  0.35512276  0.49379474
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[ 0.11714108]
[ 0.54599427  0.6069612   0.6431039   0.324575    0.40710959  0.51468227
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[-0.59280577]
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[ 1.4858556]
[ 0.45513009  0.61664983  0.59359389  0.44666846  0.47092961  0.49581009
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[ 1.89756064]
[ 0.5293317   0.68414831  0.30390916  0.53626672  0.45560793  0.56961998
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[ 3.5423864]
[ 0.54574065  0.61448854  0.45092537  0.42701933  0.55181902  0.33262868
  0.52380864  0.53255552  0.44392422  0.37892399]
[ 0.37638145]
[ 0.41964118  0.65434636  0.54546703  0.47772882  0.37677525  0.45258502
  0.57556681  0.73586549  0.52155756  0.53052803]
[ 0.40600969]
[ 0.54477958  0.65396144  0.54525291  0.47341868  0.51109897  0.3139277
  0.55078049  0.55598079  0.46530925  0.28995567]
[ 0.5107919]
[ 0.35073039  0.65907315  0.44777951  0.33091485  0.61664978  0.38824611
  0.60649262  0.41873729  0.45460848  0.61810706]
[ 1.02123057]
[ 0.60463306  0.49549715  0.51581105  0.49126821  0.51138821  0.4035821
  0.49052911  0.60440565  0.5408179   0.42350831]
[-0.62523015]
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[ 0.31291332]
[ 0.52031379  0.65231964  0.43110982  0.40174575  0.59719771  0.38814783
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[ 0.34934104]
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[ 2.7382858]
[ 0.55213301  0.6808768   0.52911941  0.35293373  0.46277316  0.37879944
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[ 0.0098377]
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[ 0.8970373]
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[ 0.02580438]
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[ 0.3551493]
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[ 1.24246892]
[ 0.69579035  0.6521057   0.37083101  0.50513     0.55881967  0.46308294
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[ 0.90486371]
[ 0.38779848  0.56592584  0.79192342  0.39484575  0.23479805  0.60119079
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[ 0.54978266  0.6351759   0.56834614  0.38200442  0.60511791  0.36771738
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[ 0.39369589  0.48813842  0.59563933  0.53663006  0.32121311  0.55434859
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[ 1.17022398]
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[ 0.59581604  0.64022651  0.2699577   0.54136167  0.6267539   0.43268192
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[ 1.75504641]
[ 0.44636921  0.73628291  0.34054395  0.53152131  0.49747583  0.34942677
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[ 0.27550532]
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[ 0.08475608]
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[ 0.37638145]
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[ 0.47876581]
[ 0.39763791  0.59194044  0.49243563  0.4559383   0.47739111  0.45379301
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[ 2.6634358]
[ 0.56833837  0.56537259  0.3966395   0.43936357  0.5812517   0.25417975
  0.50707291  0.38875293  0.39976414  0.4145704 ]
[ 0.50571548]
[ 0.54357972  0.59324668  0.63100006  0.37624521  0.47487893  0.4902764
  0.45164962  0.50848567  0.4472539   0.46920194]
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[ 0.63536622  0.61498102  0.41238047  0.56985465  0.51827208  0.4395987
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[ 0.11650638]
[ 0.40107555  0.48654739  0.60499471  0.49486059  0.51625181  0.55038765
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[ 0.37604391  0.53752462  0.52933377  0.40259753  0.30518003  0.50566676
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[ 0.27349624]
[ 0.74491913  0.66864629  0.40603142  0.52479903  0.57868953  0.36330796
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  0.5300457   0.61503475  0.63537996  0.4894185 ]
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[ 0.40953287  0.55174255  0.6291562   0.44189347  0.59578114  0.3538858
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[ 0.55980142  0.59535895  0.54361055  0.47529232  0.44174226  0.47341079
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[ 0.43871786  0.6165674   0.60010864  0.40863562  0.33863129  0.51096963
  0.56131422  0.50392493  0.49888518  0.60705819]
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[ 0.48385221  0.52946648  0.43816874  0.51361383  0.44650519  0.44619049
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[ 1.19445836]
[ 0.63765794  0.60957936  0.36226725  0.58103631  0.49053632  0.42874565
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[ 0.54619544  0.50921843  0.51270169  0.45772763  0.48656519  0.45352665
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[ 0.9764495]
[ 0.4573086   0.6264206   0.47558704  0.55024835  0.58861344  0.46936966
  0.55594476  0.25755922  0.43114595  0.43960328]
[-0.35629191]
[ 0.57527258  0.76503385  0.32402367  0.6139888   0.57058911  0.53948484
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[ 1.32995911]
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[ 0.42892459]
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  0.48410267  0.39014385  0.45530652  0.57307403]
[ 0.73745096]
[ 0.51748233  0.60257643  0.5343609   0.48357293  0.47677371  0.47108788
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[ 0.41472907  0.53295636  0.5769721   0.46585235  0.46740049  0.46727293
  0.66662     0.62854662  0.45525716  0.57711172]
[ 0.09353652]
[ 0.55644795  0.63974224  0.37836445  0.40199956  0.71374238  0.36396528
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[ 0.44480784  0.49372102  0.50739033  0.52876337  0.62955072  0.35798362
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[-0.05831979]
[ 0.56069317  0.69049267  0.50784156  0.49502793  0.41787139  0.37821951
  0.68327574  0.46234317  0.40284235  0.49405769]
[-0.41092411]
[ 0.53415065  0.57235608  0.65003868  0.45585852  0.33794862  0.55539185
  0.46013     0.53227524  0.47988051  0.57164366]
[ 1.69290644]
[ 0.54160645  0.6152339   0.55983586  0.50985432  0.48143315  0.54079676
  0.47340518  0.58079772  0.40448511  0.48853468]
[ 0.72752559]
[ 0.51507375  0.64233968  0.49402606  0.40861304  0.56102341  0.37343164
  0.57485913  0.54162856  0.47405559  0.52858588]
[ 3.22123333]
[ 0.53838404  0.76577545  0.50100173  0.4050318   0.5953296   0.31106159
  0.60894024  0.44538558  0.24762589  0.4757521 ]
[-0.77960558]
[ 0.5522638   0.50436723  0.59217364  0.55550677  0.45050785  0.47885644
  0.46535996  0.52559295  0.48984727  0.40684789]
[-0.72874238]
[ 0.38195389  0.38994908  0.59355634  0.4126648   0.39129445  0.5357125
  0.58245883  0.58533293  0.57609401  0.46866122]
[-0.86245519]
[ 0.42784559  0.63903764  0.51505586  0.51700073  0.43938511  0.48878521
  0.48863982  0.58543076  0.36151991  0.48319086]
Progress: 12.0% ... Training loss: 0.809 ... Validation loss: 1.304[-0.76682114]
[ 0.52101933  0.54390639  0.57346043  0.55158034  0.37214263  0.57056472
  0.46002819  0.57504251  0.53979438  0.57642365]
[ 1.36679222]
[ 0.58623268  0.54032683  0.5954181   0.41884017  0.45770967  0.50351082
  0.45761633  0.44909728  0.4792668   0.53555859]
[-0.83457852]
[ 0.51693169  0.55369268  0.42602183  0.59630978  0.47499227  0.51756605
  0.4995375   0.51210502  0.53496487  0.5537235 ]
[ 1.23542384]
[ 0.5371609   0.53007711  0.36533924  0.5231306   0.62606974  0.37413318
  0.57527965  0.48708588  0.48572273  0.41969951]
[-0.25244036]
[ 0.44767162  0.61726621  0.5313901   0.47066082  0.48511626  0.38114433
  0.7166638   0.50412729  0.28956267  0.58378684]
[-1.08347569]
[ 0.46723085  0.50810051  0.50975537  0.49446345  0.65794533  0.46212917
  0.59027098  0.33746183  0.43429161  0.28227507]
[ 1.7377444]
[ 0.40411519  0.53703059  0.39782623  0.43583644  0.56548734  0.32039625
  0.65097951  0.38715877  0.36635     0.50995767]
[-0.57872292]
[ 0.42046416  0.53444504  0.77867969  0.44899162  0.1880429   0.59136192
  0.45511782  0.60396351  0.44856587  0.5984234 ]
[ 0.18009505]
[ 0.40307634  0.40203039  0.72346327  0.44998746  0.26123228  0.47837264
  0.62625521  0.58509299  0.41261948  0.59533837]
[ 0.61718208]
[ 0.57219111  0.61093424  0.37494341  0.53295771  0.52279081  0.4566396
  0.58407813  0.44334595  0.46662306  0.43630123]
[ 0.98739755]
[ 0.332948    0.6138485   0.6807617   0.36239956  0.55612657  0.47415253
  0.60226838  0.51911947  0.43971758  0.4654612 ]
[-0.8678514]
[ 0.54943166  0.38358376  0.53511059  0.48957098  0.44452938  0.44657519
  0.48239296  0.50206974  0.50931913  0.47016765]
[ 0.4299376]
[ 0.54406283  0.60427382  0.46401634  0.57980168  0.54644122  0.53538321
  0.54812932  0.29740382  0.48562869  0.41170484]
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[ 0.38376759  0.41509815  0.57311627  0.43114306  0.47006348  0.50935316
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  0.5069375   0.69135136  0.43936482  0.59700183]
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  0.5623795   0.63526628  0.40184973  0.54173817]
[-0.57495231]
[ 0.45173556  0.39244637  0.65913708  0.57291078  0.22241477  0.52393851
  0.57811945  0.60402079  0.51075393  0.59765426]
[ 0.54199703]
[ 0.39730083  0.54891997  0.59161598  0.52360016  0.45986151  0.62656236
  0.43864616  0.62816488  0.52178694  0.596348  ]
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[ 0.50321041  0.54478701  0.6780081   0.37965649  0.28164985  0.3668796
  0.58895481  0.47233058  0.32854123  0.54978855]
[ 1.19074455]
[ 0.45028561  0.60495271  0.50801385  0.50434911  0.55288764  0.36944827
  0.55826488  0.52335124  0.40092871  0.43129369]
[-0.96160873]
[ 0.46187284  0.50346259  0.5821573   0.40831664  0.56245272  0.53394453
  0.4376827   0.4497551   0.50244108  0.46042927]
[ 0.05221921]
[ 0.46372135  0.62843004  0.62061618  0.38398829  0.27110061  0.52819711
  0.51417157  0.54119471  0.5338946   0.60596763]
[ 0.59474402]
[ 0.39168226  0.57628883  0.36139919  0.44996793  0.60332729  0.42779916
  0.58237771  0.57855136  0.46905092  0.46172024]
[ 0.2136928]
[ 0.4149224   0.37940207  0.61907935  0.35010884  0.46241272  0.34508386
  0.48833564  0.49132117  0.48858798  0.66384771]
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[ 0.43646827  0.69634212  0.41402488  0.34297543  0.55746887  0.39886586
  0.59709356  0.49723946  0.46288081  0.68678606]
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[ 0.5160957   0.62506831  0.54580423  0.55618978  0.42629494  0.55034658
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[-0.81679779]
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[-0.37851433]
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[ 0.61549893  0.57922374  0.58615372  0.46126352  0.33391645  0.45459003
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[ 0.522056    0.60916036  0.57085847  0.42380281  0.46521701  0.51989532
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[ 0.47970742  0.54202083  0.5794366   0.44415725  0.3834252   0.47634529
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[ 2.57730414]
[ 0.49534373  0.59517959  0.32956251  0.46004562  0.57085329  0.27910643
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[ 1.90964714]
[ 0.58595466  0.71144689  0.33982779  0.4368523   0.58996521  0.33812032
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  0.58893063  0.49434583  0.39007017  0.48043126]
[-0.66489753]
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  0.70100047  0.54938038  0.3371303   0.66454811]
[ 0.53657495]
[ 0.45846488  0.54859019  0.54637355  0.45070721  0.39293066  0.55293933
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[ 0.40972118]
[ 0.44089023  0.44206412  0.64578951  0.429573    0.43965938  0.55548549
  0.60749245  0.70386543  0.61924589  0.45087266]
[ 2.37497057]
[ 0.45861911  0.70197525  0.32830496  0.45451362  0.49614959  0.392635
  0.59842438  0.56517175  0.32335851  0.57652022]
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[ 0.4339798   0.45631387  0.64765492  0.37360755  0.43232547  0.41013093
  0.36128501  0.42929244  0.49969089  0.60415981]
[-0.54832657]
[ 0.32875551  0.51400033  0.65891254  0.43639201  0.41378104  0.51540757
  0.49728051  0.5750912   0.47610559  0.60208191]
[-1.02778706]
[ 0.56642654  0.43460639  0.48925282  0.53141429  0.58923015  0.37082899
  0.56257568  0.40217317  0.49915158  0.39819982]
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[ 0.43802688  0.52315578  0.55897029  0.31185453  0.56425177  0.50082626
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[ 0.38954445  0.51232391  0.65599959  0.53793401  0.37949045  0.6437932
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[-0.74024608]
[ 0.37143993  0.6047162   0.56733888  0.61949213  0.31008466  0.52660439
  0.540308    0.66770707  0.47405811  0.53661389]
[ 1.53079917]
[ 0.40481179  0.56355492  0.60626727  0.50380231  0.41691478  0.52139963
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[ 0.39336623  0.48338369  0.55618554  0.52160996  0.41002586  0.59494141
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[ 1.54516321]
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[ 0.46281804]
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[ 1.23945983]
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[ 1.58411871]
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[ 0.07696403]
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[ 0.14652249]
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[ 1.06522742]
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[ 0.09526116]
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[ 0.71766271]
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[ 1.56573525]
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[ 0.55436363]
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[ 0.23054633]
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[ 0.01570126]
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[ 0.3444668]
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[ 1.40698043]
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[ 2.44055963]
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[ 0.08349226]
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[ 0.54249121  0.70217743  0.45491207  0.39557902  0.43888624  0.49811714
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[-0.86331807]
[ 0.53071085  0.6811331   0.58201405  0.36513025  0.5618382   0.33888644
  0.55657909  0.513935    0.33506261  0.29820178]
[-0.69528125]
[ 0.46027685  0.64486518  0.59253485  0.37066771  0.5111181   0.5330051
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[-0.84450967]
[ 0.49238502  0.57254605  0.55847698  0.53019687  0.42573841  0.55289954
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[-0.99955296]
[ 0.39978533  0.59282135  0.61187018  0.43602672  0.61521443  0.43937241
  0.65798606  0.57532775  0.39013608  0.50221047]
Progress: 12.3% ... Training loss: 0.807 ... Validation loss: 1.313[-0.42449383]
[ 0.43761597  0.52297999  0.73485209  0.40933573  0.23950624  0.66132835
  0.44107603  0.57400566  0.58377222  0.63184533]
[-0.48847102]
[ 0.542004    0.69722572  0.48596877  0.46899775  0.68560162  0.47932689
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[-0.35940685]
[ 0.35262157  0.36394637  0.63180579  0.59596799  0.25055566  0.53356294
  0.54599287  0.67694759  0.56301471  0.56058852]
[ 1.08755913]
[ 0.4448059   0.50355022  0.56854354  0.4715362   0.45823001  0.56276107
  0.4611861   0.63247838  0.5892142   0.54101389]
[ 0.80523081]
[ 0.31308473  0.56859661  0.60593827  0.39350068  0.5275327   0.5928122
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[-0.18248903]
[ 0.34861078  0.55903573  0.53806921  0.47945054  0.41276856  0.4597954
  0.64495622  0.61778086  0.4722876   0.4363264 ]
[-0.76267106]
[ 0.48173832  0.56435745  0.5350043   0.61485887  0.43565013  0.60837015
  0.5802602   0.53135613  0.41889686  0.59056644]
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[ 0.41147733  0.53518515  0.47739398  0.52500594  0.46173463  0.60112545
  0.47234972  0.58505585  0.64454938  0.4836885 ]
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  0.61493156  0.30302833  0.4642332   0.28325888]
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  0.41408384  0.52831844  0.63082477  0.51200371]
[-0.61559999]
[ 0.39676167  0.49745101  0.5832909   0.48738726  0.32027278  0.63242077
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[-0.65755605]
[ 0.53367763  0.66904493  0.57220071  0.40424586  0.3520991   0.519727
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[-0.11382469]
[ 0.55185295  0.81343529  0.32924144  0.53868404  0.65603821  0.37287596
  0.58881493  0.43633417  0.31561912  0.43674153]
[ 1.59900071]
[ 0.5243006   0.68358726  0.30485574  0.50589759  0.67454619  0.32584177
  0.57922866  0.40370725  0.41998865  0.5001356 ]
[-0.3454143]
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  0.59224023  0.63423596  0.53659565  0.65471012]
[ 2.28320382]
[ 0.37447     0.50647911  0.55470854  0.41952789  0.44035056  0.49299895
  0.51049242  0.45226773  0.39737997  0.53741464]
[ 0.23182791]
[ 0.34122063  0.66521841  0.50361033  0.46099945  0.49858733  0.51907186
  0.41802616  0.44157171  0.47006004  0.58126005]
[-0.60465227]
[ 0.44081121  0.52336147  0.49337257  0.55593911  0.61282313  0.40452594
  0.54647127  0.39658644  0.44155644  0.41598524]
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[ 0.47402567  0.49636985  0.57277064  0.45861     0.48201569  0.57667811
  0.58199156  0.67492599  0.56887341  0.59957385]
[-0.11735839]
[ 0.48715429  0.58225598  0.47001836  0.57468362  0.55807798  0.45758962
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[-0.346246]
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[-0.68877727]
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[-0.65209613]
[ 0.33103656  0.48744593  0.72956035  0.37750643  0.34998746  0.59824179
  0.46404904  0.60042171  0.6454516   0.48956788]
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[ 0.57754461  0.76816937  0.32242676  0.61099985  0.57617006  0.5375621
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[-0.63747332]
[ 0.5181517   0.46667766  0.64140956  0.53338735  0.30966211  0.59618851
  0.54094252  0.69207817  0.56389599  0.58605491]
[ 0.74850243]
[ 0.40659898  0.53412556  0.53028127  0.50559559  0.357791    0.49124553
  0.5275637   0.49436425  0.41825199  0.55486392]
[-0.27470202]
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[ 3.26473029]
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[ 1.59353747]
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[ 0.98434468]
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[ 0.15287835]
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[ 0.82204865]
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[ 0.24176371]
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[ 1.0937874]
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[ 0.63175854]
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[ 0.16014409]
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[ 1.31625791]
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[ 0.19858355]
[ 0.33870577  0.50431685  0.49410388  0.53054832  0.41522214  0.7080915
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[ 0.47654557]
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[ 0.53920536]
[ 0.53180258  0.53887764  0.28183968  0.50510832  0.69071093  0.33480847
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  0.48411041  0.45363399  0.43469722  0.38267391]
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[ 0.4749668   0.61206031  0.40980219  0.50502047  0.48694527  0.42846143
  0.56678863  0.60997079  0.52158039  0.56307195]
[ 1.35054531]
[ 0.40357205  0.56674949  0.51490285  0.47676599  0.49055363  0.37342192
  0.54238631  0.41757505  0.38598349  0.52390703]
[-0.20226174]
[ 0.4822904   0.74518948  0.43868018  0.56814292  0.49912957  0.63285668
  0.52973995  0.54270518  0.2765364   0.53398315]
[ 1.91947967]
[ 0.50554374  0.6220811   0.50715247  0.50256732  0.6321501   0.36766838
  0.60084905  0.5596905   0.38832868  0.43251538]
[-0.75831054]
[ 0.43932807  0.48568997  0.64518903  0.4318511   0.47142497  0.58034262
  0.35897113  0.55075453  0.66079291  0.48338922]
[ 1.22652249]
[ 0.48756707  0.55879364  0.54311456  0.47827163  0.5497517   0.40781108
  0.56116229  0.3560809   0.41793172  0.41671855]
Progress: 12.6% ... Training loss: 0.804 ... Validation loss: 1.314[-0.4576882]
[ 0.56005044  0.51680953  0.52243774  0.60097427  0.3227363   0.48792749
  0.63103198  0.68249685  0.55158072  0.47521943]
[-0.35159749]
[ 0.4100564   0.54738711  0.56189246  0.49249041  0.52457509  0.43911696
  0.46477161  0.37327725  0.47787868  0.50637645]
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[ 1.09369073]
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[ 0.57687171]
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[ 1.31314713]
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[ 0.90788935]
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[ 0.37562925]
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[ 0.31687786]
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[ 0.51706185]
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[ 0.206437]
[ 0.66996329  0.60443266  0.32522505  0.48988559  0.68008976  0.28064718
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[ 0.48899979]
[ 0.47059688  0.55971951  0.66063371  0.40654518  0.48030507  0.49497774
  0.43353189  0.4783199   0.39851897  0.53876779]
[ 0.91608619]
[ 0.49639849  0.54079665  0.61596306  0.41790464  0.47407504  0.47478399
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[-0.41082789]
[ 0.51188115  0.63729854  0.4865769   0.49910026  0.524825    0.47951821
  0.57420161  0.69929175  0.6278119   0.48492256]
[-0.8510599]
[ 0.44598095  0.66022451  0.43939026  0.58511754  0.38105512  0.59916883
  0.64150392  0.604908    0.45270106  0.60054321]
[ 1.13409177]
[ 0.50073232  0.57761319  0.37917852  0.46849689  0.67821158  0.42364527
  0.50539059  0.47077493  0.4870891   0.46767611]
[ 1.23401193]
[ 0.3343435   0.52838805  0.62023176  0.51102869  0.37799053  0.56555407
  0.50950774  0.63532589  0.46882416  0.63668761]
Progress: 12.9% ... Training loss: 0.803 ... Validation loss: 1.320[ 1.63710383]
[ 0.55326365  0.63846268  0.32917162  0.47803771  0.77877067  0.19362538
  0.66534943  0.44561195  0.43530653  0.44156935]
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  0.5119449   0.62493005  0.62418807  0.43777456]
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  0.3582597   0.55169406  0.6623424   0.48507615]
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[ 0.65651421  0.60814569  0.3861775   0.52991393  0.50560491  0.45384217
  0.58625682  0.26885417  0.35866054  0.4221033 ]
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[ 0.47665491  0.61702929  0.45106101  0.48322773  0.41644734  0.5293079
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[ 0.29183716]
[ 0.52269191  0.5608081   0.40131597  0.46459872  0.57657527  0.47472152
  0.51614432  0.36659873  0.43041704  0.54290119]
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  0.60964445  0.39681289  0.41730863  0.39740427]
[ 1.86013342]
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[ 0.49513323  0.59108698  0.48599617  0.42857704  0.49023674  0.41419688
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[ 0.24568503]
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[ 0.40930533  0.60957228  0.41182928  0.5181517   0.47953178  0.44540179
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[ 1.74781886]
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[ 0.04273978]
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[ 0.33735666]
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[ 0.90803701]
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[ 0.24818459]
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[ 0.54610305]
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[ 0.66561785]
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[ 1.14866397]
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[ 0.66632244]
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[ 0.33442023]
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[ 3.21059882]
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[ 1.49470484]
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[ 0.42146178]
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[ 2.09766071]
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[ 0.87204845]
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[ 0.17823768]
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[ 0.94880478]
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[ 0.68019433]
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[ 0.16540143]
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[ 0.52536083]
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[ 0.04752308]
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[ 0.56459534]
[ 0.4763408   0.48320201  0.47375309  0.45960446  0.68479201  0.24391077
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[ 1.00397171]
[ 0.59205667  0.55971381  0.32090272  0.50212555  0.62942106  0.34114742
  0.5659826   0.25741528  0.39832982  0.39541219]
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[ 0.4008704   0.62464756  0.60231349  0.41801463  0.33296022  0.49733132
  0.59683339  0.6837791   0.50423039  0.66414738]
[ 0.4793612]
[ 0.47771057  0.54978333  0.36780425  0.54317116  0.57723934  0.32863337
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[ 0.47334213  0.62106878  0.53437532  0.48382328  0.4291295   0.56426203
  0.63356795  0.67160545  0.56030824  0.55771052]
Progress: 13.1% ... Training loss: 0.808 ... Validation loss: 1.360[ 0.07239881]
[ 0.52244257  0.67809566  0.38969822  0.52056393  0.57335443  0.43066477
  0.55353359  0.27810296  0.32885031  0.3569189 ]
[ 0.13212353]
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[ 0.79788071]
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[ 2.53066357]
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[ 0.1260636]
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[ 2.63689165]
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[ 0.21770904]
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[ 0.8295614]
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[ 1.17163898]
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[ 0.28213269]
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[ 0.7331748]
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[ 0.11080152]
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[ 0.36081236]
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[ 0.1588789]
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[ 0.75627624]
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[ 1.46863659]
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[ 2.63304258]
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[ 0.74164815]
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[ 1.4719628]
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[ 0.23257796]
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[ 0.1535184]
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[ 0.41735295]
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[ 0.02658985]
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[ 0.28593728]
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[ 1.02015542]
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[ 1.17780113]
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[ 0.40617863]
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[ 0.2184683]
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[ 3.20239791]
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[ 0.29950939]
[ 0.3681384   0.55312468  0.55194082  0.50929876  0.45037528  0.58675363
  0.50226697  0.4832299   0.45682832  0.54014271]
[ 0.147062]
[ 0.53363829  0.75612424  0.27347889  0.48107481  0.74927071  0.37487045
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[-0.39726407]
[ 0.44766414  0.5913676   0.49578314  0.38445545  0.4563539   0.5586793
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[-0.43242649]
[ 0.48950876  0.59098332  0.40269366  0.43507974  0.65403303  0.26957462
  0.71507222  0.41700425  0.33759979  0.45398115]
Progress: 13.4% ... Training loss: 0.805 ... Validation loss: 1.358[-0.42429235]
[ 0.43051071  0.76667633  0.53774021  0.48904606  0.54107432  0.59583464
  0.39864939  0.48900363  0.37644539  0.53927552]
[ 0.74636912]
[ 0.41831818  0.66888256  0.48422572  0.57406558  0.50136926  0.41804014
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[ 0.44255809  0.58932564  0.44531824  0.41353222  0.60957245  0.53780408
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  0.7383897   0.58359333  0.34568358  0.56198243]
[ 1.88656362]
[ 0.50551896  0.67750733  0.49167811  0.36277455  0.71507673  0.32891392
  0.70590584  0.50939344  0.32398825  0.50544842]
[ 2.95886522]
[ 0.58581586  0.52714957  0.53343374  0.49923527  0.46434425  0.35757528
  0.5791301   0.47244435  0.38256653  0.37651212]
[ 0.31487726]
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  0.62205635  0.64505852  0.45058441  0.51812443]
[-0.19222774]
[ 0.59698599  0.5923209   0.56476921  0.42583005  0.39781244  0.36253171
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[ 1.29413305]
[ 0.53725325  0.68484622  0.50043108  0.50913366  0.49925816  0.42083891
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[ 1.86497068]
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  0.55303768  0.32258038  0.46455298  0.40331499]
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[ 0.00412166]
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[ 0.42466027]
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[ 0.01645886]
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[ 0.6709561]
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[ 0.51825831]
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[ 0.49583847]
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[ 0.35544329]
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[ 0.52387402]
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[ 0.50310212  0.55319336  0.60149928  0.48524269  0.4132619   0.52795988
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[ 0.36337343]
[ 0.49644667  0.57792788  0.51228732  0.41413856  0.53821383  0.50276705
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  0.51908695  0.61023667  0.36534228  0.35440648]
Progress: 13.7% ... Training loss: 0.804 ... Validation loss: 1.359[ 0.05832546]
[ 0.37410596  0.65787035  0.77626585  0.40456492  0.28676551  0.48295783
  0.44024281  0.58073783  0.44168564  0.44570969]
[ 0.18474202]
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[ 0.88565195]
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[ 1.76855718]
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[ 0.16865382]
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[ 1.17004909]
[ 0.63217004  0.73078984  0.47495605  0.39905704  0.60913059  0.42777666
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[ 0.1059597]
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[ 0.55202379]
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[ 0.46556309  0.64784595  0.54970212  0.43990156  0.45204231  0.37149996
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[ 0.4618108   0.58220455  0.58379632  0.49355088  0.30514706  0.60473972
  0.39438472  0.56882036  0.50985642  0.56064654]
[ 0.74981017]
[ 0.48420487  0.55463825  0.49404764  0.43187875  0.66763898  0.3061397
  0.52313752  0.41154917  0.34062586  0.41552444]
[ 0.18717939]
[ 0.39532655  0.6396296   0.62183575  0.39660013  0.5089646   0.44098787
  0.52118292  0.51644542  0.36715936  0.38067941]
[ 1.17074399]
[ 0.4562091   0.68740325  0.43724943  0.39198942  0.58595896  0.48133646
  0.57055648  0.74186721  0.44602176  0.54952672]
[-0.20656641]
[ 0.39275598  0.33978089  0.56117024  0.50784009  0.56147039  0.40502946
  0.4659089   0.50086037  0.52213647  0.51359055]
Progress: 14.0% ... Training loss: 0.795 ... Validation loss: 1.319[ 0.05538851]
[ 0.45702714  0.54324239  0.51804703  0.47170143  0.47588544  0.45201686
  0.49849378  0.63388265  0.43779784  0.59068607]
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  0.52641939  0.75393236  0.60029097  0.62864679]
[ 0.84994925]
[ 0.28190636  0.46826295  0.56797424  0.36825866  0.43819553  0.47624676
  0.52905843  0.49136738  0.5300718   0.59792194]
[ 0.36925526]
[ 0.56690285  0.60191117  0.34389742  0.51951484  0.58937851  0.50427305
  0.5312953   0.56124493  0.46009687  0.49151225]
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[ 0.60127468]
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  0.61184867  0.47974569  0.42900637  0.46499399]
[ 1.24179099]
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  0.5230622   0.59910679  0.34203322  0.44250836]
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[ 0.00116618]
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[ 0.26468942]
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[ 1.53071859]
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[ 0.23605011]
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[ 0.14619276]
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[ 0.1085086]
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[ 0.77880584]
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[ 1.68322447]
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[ 1.57774348]
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[ 0.88055239]
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[ 0.61162852]
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[ 2.45263538]
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[ 1.1860437]
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[ 1.3592299]
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[ 0.20618559]
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[ 0.49504183]
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[ 0.33288159]
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[ 2.86999431]
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[ 0.18182453]
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[ 1.35581853]
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[ 0.72627018]
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[ 1.86216591]
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[ 0.33329986]
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[ 1.8882848]
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[ 0.26696873]
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[ 1.15776273]
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[ 0.24538921]
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[ 1.1625841]
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[ 0.13194702]
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[ 0.25407668]
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[ 0.39912897]
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[ 0.01115652]
[ 0.45031923  0.57991637  0.56079016  0.438231    0.45670447  0.52535702
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[ 0.4348948   0.51935056  0.59488224  0.45928033  0.31374089  0.53072407
  0.59081034  0.64392249  0.46983708  0.71348286]
[ 1.38833211]
[ 0.32469286  0.43840037  0.62748226  0.38512091  0.49460459  0.49928254
  0.39884959  0.56508705  0.46167886  0.62456731]
[ 0.00138725]
[ 0.47939586  0.67330981  0.47647741  0.39370276  0.67781985  0.367215
  0.67736179  0.47596533  0.35007965  0.47837044]
[ 0.04668945]
[ 0.53501365  0.62785644  0.38069268  0.46776485  0.63939888  0.42696085
  0.59266954  0.29005702  0.40382258  0.29735901]
[ 1.18236051]
[ 0.48828992  0.66079055  0.53756225  0.39667509  0.416385    0.4115571
  0.60009276  0.59396506  0.37750359  0.47111207]
[ 1.05655631]
[ 0.7309729   0.73942284  0.42501746  0.46592999  0.52768491  0.33610371
  0.64926535  0.47887459  0.20215869  0.4398526 ]
Progress: 14.3% ... Training loss: 0.790 ... Validation loss: 1.288[ 0.58906159]
[ 0.43125005  0.58600329  0.52634729  0.4134938   0.49440161  0.51326699
  0.56726092  0.63940829  0.50795921  0.4679864 ]
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[ 1.59832592]
[ 0.52124763  0.60447098  0.48337638  0.40488771  0.57363733  0.39003923
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[ 0.64665735  0.64808273  0.33758411  0.52129281  0.68733878  0.34826137
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[ 0.08827291]
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  0.66627485  0.69370396  0.3298098   0.51373096]
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[ 0.39723305]
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[ 0.88975771]
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[ 1.21613793]
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[ 0.60782816]
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[ 0.13123152]
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[ 0.49398463]
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[ 0.19707738]
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[ 1.99718151]
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[ 1.11377967]
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[ 1.46948676]
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[ 1.29758561]
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[ 0.22031994]
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[ 1.42599523]
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[ 2.11626762]
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[ 1.11415791]
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[ 3.67746865]
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[ 0.69920731]
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[ 1.18476215]
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[ 0.24324312]
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[ 0.31132562]
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[ 1.45474355]
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[ 1.59869186]
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[ 1.6770943]
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[ 0.03016381]
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[ 1.3581718]
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[ 0.23679941]
[ 0.70097681  0.64890531  0.38746087  0.47845665  0.69453363  0.36788777
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[ 0.46804113  0.59867363  0.54637001  0.57692767  0.31147401  0.56003616
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[ 1.61663131]
[ 0.30471406  0.3180157   0.68738512  0.41488104  0.44707139  0.44883592
  0.68558231  0.52789669  0.43791525  0.48414321]
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[ 0.25696879  0.344848    0.75741048  0.37473302  0.28251355  0.50752781
  0.4893676   0.54984579  0.56619737  0.56707418]
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[ 0.4388436   0.56646567  0.66043544  0.3584734   0.38935265  0.44141308
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[-1.08056222]
[ 0.40873818  0.54976506  0.62968532  0.44305841  0.59326036  0.35482342
  0.58126951  0.6041519   0.36246654  0.37519792]
Progress: 14.6% ... Training loss: 0.789 ... Validation loss: 1.287[ 0.70951841]
[ 0.59912527  0.51384049  0.34543797  0.50658519  0.70821763  0.26427165
  0.60244838  0.28504437  0.43635015  0.4097076 ]
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[ 0.66321658]
[ 0.36368452  0.55144555  0.48640143  0.46657264  0.47126348  0.29841
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[ 0.23346715]
[ 0.55310269  0.57997751  0.51571391  0.46041194  0.45926529  0.52893075
  0.5647006   0.67769152  0.47054612  0.4344009 ]
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[ 0.39612329]
[ 0.33753402  0.53207096  0.65940934  0.49069892  0.38715656  0.67617003
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[ 1.40605006]
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[ 0.04070851]
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[ 0.02768027]
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[ 0.01609139]
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[ 0.11854344]
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[ 0.14274709]
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[ 0.00707229]
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[ 0.39527563]
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[ 0.56012324]
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[ 1.71442845]
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[ 0.11021299]
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[ 1.30167322]
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[ 1.28395166]
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[ 1.6321637]
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[ 1.0937545]
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[ 2.25954345]
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[ 1.17806394]
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[ 0.02046438]
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[ 3.04276074]
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[ 0.70033707]
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[ 0.7177288]
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[ 0.14274709]
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[ 4.04027797]
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[ 1.47289876]
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[ 0.05136659]
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[ 3.07053875]
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[ 0.65924155]
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[ 0.69446558]
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[ 0.19577166]
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[ 0.1515112]
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[ 0.80807259]
[ 0.55711801  0.66425661  0.43278712  0.49197272  0.55556951  0.38228792
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[ 0.26935902]
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[ 0.34567947  0.45991496  0.64363492  0.42872308  0.40110498  0.50826328
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[ 0.46932345]
[ 0.32283691  0.39956788  0.78189916  0.41590679  0.26347837  0.56937853
  0.49679788  0.61144954  0.56151031  0.55618566]
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[ 0.37143292  0.58433953  0.58536365  0.44630496  0.30526903  0.55169636
  0.50538682  0.57184479  0.53791971  0.54042226]
[-0.15214786]
[ 0.40191871  0.47756881  0.526334    0.52755972  0.43535055  0.42072291
  0.56087267  0.38021412  0.42220677  0.41489938]
[ 0.10107737]
[ 0.47114261  0.4744207   0.59265989  0.47714216  0.28590067  0.59186645
  0.47675986  0.43814443  0.4997261   0.62881703]
[ 1.18785295]
[ 0.51658518  0.60542383  0.3590061   0.46459457  0.73522887  0.3229445
  0.60619352  0.28440295  0.34156202  0.33360108]
[-0.32183668]
[ 0.54890601  0.55631401  0.56387915  0.32270802  0.53172265  0.46385012
  0.58584883  0.46999126  0.47263161  0.62129945]
[-0.29486222]
[ 0.53605514  0.63495382  0.54788633  0.51494005  0.41591281  0.39789037
  0.56479682  0.49374958  0.36525085  0.48067006]
Progress: 14.9% ... Training loss: 0.787 ... Validation loss: 1.275[ 0.59085847]
[ 0.46631688  0.66757804  0.55246884  0.54148624  0.50008402  0.5334609
  0.45923336  0.56909338  0.34144195  0.54083057]
[ 1.99905306]
[ 0.36313869  0.416125    0.71421098  0.47270953  0.30310309  0.64570814
  0.42392771  0.57386201  0.56829093  0.62853515]
[-0.74316881]
[ 0.3764444   0.42183209  0.61155204  0.42399147  0.48057664  0.42375127
  0.5700064   0.61010322  0.58366448  0.50811773]
[-0.94899621]
[ 0.54678942  0.50286385  0.64302083  0.51778724  0.50731184  0.39569183
  0.47117735  0.60247192  0.48815807  0.35774232]
[ 0.89715846]
[ 0.65723311  0.591978    0.44618622  0.52136152  0.51340632  0.46986186
  0.60861064  0.32336391  0.36287536  0.48320274]
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[ 0.41425602  0.65747943  0.6007111   0.43442783  0.53538802  0.3382625
  0.59118321  0.56032054  0.36888221  0.49725745]
[-0.5063171]
[ 0.42801646  0.63196433  0.50808198  0.45934055  0.4743421   0.37150913
  0.49576258  0.53837342  0.44725268  0.61222635]
[ 1.69791067]
[ 0.47562007  0.56150543  0.44739885  0.40948986  0.75312845  0.2364732
  0.65221971  0.36357214  0.34559011  0.39135728]
[ 0.89083359]
[ 0.47858353  0.64799296  0.43377041  0.43810275  0.61090033  0.37151778
  0.6352248   0.6237741   0.33732181  0.49907103]
[-0.91723098]
[ 0.38051802  0.48296206  0.57359494  0.51677639  0.50517911  0.48002519
  0.62642419  0.64171874  0.50570082  0.37097577]
[-0.92862965]
[ 0.44970073  0.68248982  0.52406274  0.53366837  0.41197172  0.5312928
  0.48225482  0.64008765  0.38591563  0.53565901]
[-0.84569626]
[ 0.44553562  0.59146249  0.5042376   0.51729552  0.36603792  0.53152496
  0.66808927  0.70719309  0.49879967  0.5861215 ]
[-0.13386744]
[ 0.31698856  0.40426497  0.64010132  0.45242238  0.3099048   0.50347393
  0.51014906  0.67660632  0.56119658  0.73694478]
[ 1.0760106]
[ 0.63396341  0.65426408  0.36697943  0.40730789  0.73914193  0.18071789
  0.68092084  0.4064202   0.28918351  0.38938324]
[ 0.24549516]
[ 0.66605532  0.69488013  0.34487293  0.48158102  0.72362235  0.47630215
  0.55787171  0.39203385  0.50287064  0.30006532]
[ 2.24410311]
[ 0.39795113  0.61850638  0.44962862  0.39998062  0.55327198  0.33827839
  0.52091375  0.57985034  0.44833854  0.54200206]
[-0.04746934]
[ 0.62025636  0.59773702  0.41483829  0.41952653  0.69151728  0.30884249
  0.54854103  0.46498881  0.45339538  0.2473117 ]
[ 0.74173549]
[ 0.45266966  0.62397266  0.43040195  0.44841486  0.68784565  0.31785671
  0.63542414  0.48062031  0.36007577  0.46215291]
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  0.37775294  0.53163884  0.53110674  0.67543773]
[-0.39610622]
[ 0.44615318  0.58354573  0.7112936   0.46425469  0.32402937  0.66877966
  0.35522804  0.59640563  0.49698469  0.58946171]
[-0.93517501]
[ 0.44751531  0.58538834  0.56844531  0.59483325  0.51333413  0.52430468
  0.56141033  0.51478886  0.42346448  0.49501477]
[-0.2879419]
[ 0.44505644  0.66362811  0.54201032  0.46728018  0.4085093   0.54027198
  0.48716488  0.45372639  0.39223536  0.50492382]
[ 2.14041775]
[ 0.58673411  0.62171515  0.36150955  0.45513941  0.59304104  0.25748672
  0.53435659  0.44862313  0.41200668  0.4089892 ]
[ 1.7437655]
[ 0.5750183   0.58445548  0.51522999  0.36379232  0.73450141  0.3569432
  0.47067529  0.42157511  0.44765213  0.35375276]
Progress: 15.1% ... Training loss: 0.783 ... Validation loss: 1.272[ 0.70162333]
[ 0.5688684   0.68384979  0.32075673  0.49223359  0.63559889  0.34775151
  0.57232677  0.39395158  0.31221526  0.54603891]
[-0.86638463]
[ 0.42099249  0.523364    0.47883865  0.48369695  0.54522168  0.47873592
  0.5035389   0.6871419   0.52175514  0.52234071]
[ 0.64400194]
[ 0.36460809  0.55323868  0.48561855  0.46537085  0.47346501  0.29778995
  0.56650854  0.39207284  0.39649338  0.58415153]
[-0.67830439]
[ 0.34439589  0.53713109  0.60587577  0.57628563  0.40098642  0.69321744
  0.44111035  0.71682871  0.52365255  0.52466673]
[ 0.12254691]
[ 0.4569524   0.62137543  0.38638446  0.4091148   0.69081473  0.43231536
  0.70601944  0.3060954   0.35052714  0.3881963 ]
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  0.54055913  0.29132133  0.44988403  0.35802536]
[ 1.00149735]
[ 0.63949376  0.69187048  0.44739708  0.43450047  0.65645072  0.31590417
  0.6738253   0.42843595  0.31467545  0.42235561]
[ 1.96722256]
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[ 1.41181199]
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[ 0.3716672]
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[ 2.41460473]
[ 0.43106861  0.67061136  0.50467552  0.52132825  0.56435669  0.37294298
  0.64668132  0.54737571  0.34474105  0.35417646]
[ 0.51561333]
[ 0.55970543  0.66242018  0.53370456  0.3914327   0.45040878  0.37856938
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[ 1.66646108]
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[ 0.70095866]
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[ 1.72254239]
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[ 1.08604425]
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[ 0.08522736]
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[ 1.16436805]
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[ 1.98123324]
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[ 0.60416022]
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[ 0.02864418]
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[ 0.28673712]
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[ 1.51846832]
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[ 2.16122616]
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[ 0.26640275]
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[ 1.08553312]
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[ 2.81293279]
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[ 0.97391218]
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[ 0.88089741]
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[ 1.15442667]
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[ 0.12318231]
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[ 0.61106371]
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[ 0.07662144]
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[ 1.37180921]
[ 0.56551233  0.57195019  0.43377859  0.36341397  0.64637861  0.2467291
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[ 0.46570852  0.60863     0.58891044  0.48853213  0.49250953  0.40891807
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[ 0.45869758  0.43706063  0.67852459  0.4823136   0.35120901  0.48063383
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[-0.63957776]
[ 0.4600725   0.69221831  0.52669259  0.4120219   0.61174757  0.27226011
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[-1.03598317]
[ 0.35341865  0.57720856  0.59282849  0.45074984  0.66832993  0.39548984
  0.59444272  0.50717231  0.36171809  0.45516397]
[ 0.1672389]
[ 0.46066936  0.58380432  0.6367914   0.4374011   0.37852879  0.55308474
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[-0.47583957]
[ 0.55171897  0.68276415  0.46329967  0.36703796  0.66592121  0.32114232
  0.62668909  0.45550953  0.4309755   0.6020193 ]
Progress: 15.4% ... Training loss: 0.781 ... Validation loss: 1.276[-0.56857387]
[ 0.39334073  0.60703099  0.42208932  0.5378339   0.6062816   0.51967145
  0.52658472  0.66177608  0.47534663  0.521919  ]
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[ 0.02033549]
[ 0.36602089  0.54488496  0.61025288  0.40909576  0.50125558  0.55144457
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[ 0.87502094]
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[ 0.12572202]
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[ 0.22758524]
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  0.58137404  0.48542746  0.46208875  0.40826667]
[ 0.49935189]
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[ 3.10550633]
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[ 0.35719713]
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[ 0.21169887]
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[ 3.63597499]
[ 0.4542028   0.60554124  0.47655137  0.42909916  0.70236504  0.31522237
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[ 1.13343844]
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[ 0.46751983]
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[ 0.1100833]
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[ 1.96403541]
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[ 0.71314374]
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[ 0.32351153]
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[ 0.01108551]
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[ 0.79810582]
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[ 1.96404647]
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[ 0.47545074]
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[ 0.33561365]
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[ 0.0007704]
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[ 0.30438759]
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[ 2.88881872]
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[ 0.61268122]
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[ 0.14022616]
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[ 0.3754008]
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[ 0.0510862]
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[ 0.64551841]
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[ 1.07849373]
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[ 0.11878652]
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[ 1.05529939]
[ 0.56237541  0.57456222  0.37151277  0.54197171  0.56966944  0.47292408
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  0.46764063  0.56387076  0.50649035  0.51016989]
[ 1.61624446]
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[ 0.34225143]
[ 0.4274135   0.52744757  0.61454558  0.56864676  0.52234713  0.64984493
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[ 0.21302756]
[ 0.27170986  0.37993998  0.7247249   0.33746276  0.32908507  0.58630196
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[ 0.15592246]
[ 0.48308163  0.6913614   0.32002306  0.52205734  0.61015753  0.55457445
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[ 1.64959224]
[ 0.42292245  0.49461551  0.54587794  0.34921262  0.54207681  0.46589465
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[ 0.50434949  0.62329559  0.43709395  0.54025276  0.57743855  0.54520562
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[ 0.44737749]
[ 0.39267825  0.71160345  0.55565263  0.50685838  0.53485571  0.50717303
  0.49153842  0.57756107  0.36405285  0.46364106]
[ 1.65032465]
[ 0.40773182  0.57992336  0.43372676  0.46560324  0.62523744  0.34932326
  0.60079832  0.61651738  0.49074322  0.53728741]
[-0.54650792]
[ 0.52534332  0.57598569  0.40678315  0.61530323  0.54288126  0.45812854
  0.53097493  0.45470407  0.49280886  0.45996394]
[ 0.56700854]
[ 0.61627546  0.82473514  0.29068533  0.4990778   0.58715857  0.33446241
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[ 0.4575354   0.64364103  0.6059588   0.47977378  0.27118981  0.60738053
  0.41943015  0.66128507  0.61301045  0.61465311]
[-0.90520723]
[ 0.62867461  0.69144056  0.51516394  0.45190856  0.51318426  0.34703012
  0.64637868  0.44648208  0.32498359  0.48242609]
Progress: 15.7% ... Training loss: 0.779 ... Validation loss: 1.293[-0.8152827]
[ 0.43850987  0.58296437  0.57881     0.62717567  0.44138463  0.69083787
  0.5168338   0.37390248  0.40273628  0.45998232]
[-0.39914576]
[ 0.27877071  0.27135489  0.70692706  0.44280932  0.38889259  0.44136782
  0.48970491  0.50851538  0.55551161  0.5802312 ]
[-1.07118997]
[ 0.53219428  0.47796838  0.58484621  0.40780984  0.65269315  0.40791809
  0.56474742  0.5188689   0.44943821  0.45201217]
[ 0.35194772]
[ 0.52544787  0.71218665  0.3465546   0.41990376  0.77719185  0.2623978
  0.72785413  0.43512414  0.3695012   0.43797623]
[-0.67348144]
[ 0.60610073  0.72124475  0.33697433  0.47049322  0.74368175  0.47477619
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[ 1.90080794]
[ 0.55061141  0.57076248  0.57546684  0.39787043  0.57703098  0.51851857
  0.54892604  0.58423596  0.41139674  0.54342789]
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  0.50747432  0.50834219  0.44190981  0.60123073]
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[ 0.35336273  0.43128211  0.54082037  0.51796448  0.47341949  0.54885448
  0.46436251  0.63174243  0.59096905  0.6369138 ]
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  0.62181471  0.63064688  0.49665309  0.38030001]
[-0.63990465]
[ 0.4356027   0.57638632  0.4306241   0.6464746   0.37280675  0.48056207
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[-0.24059896]
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[-0.75203041]
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[ 0.33035639  0.38949195  0.62914829  0.54040067  0.39637368  0.6946978
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[ 0.73683434]
[ 0.44722333  0.63207674  0.51447337  0.39580283  0.42224049  0.50149672
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[-0.70780153]
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  0.570618    0.58032617  0.55631933  0.61419589]
[ 0.87304131]
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[-0.61288416]
[ 0.37902675  0.60745081  0.57556694  0.53176856  0.4178251   0.52855018
  0.64835399  0.67505578  0.50210248  0.37954422]
[ 0.18654973]
[ 0.59811444  0.66732751  0.48717558  0.39890571  0.53879007  0.37129885
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[ 0.49167855]
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[-0.09670725]
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[-1.00634805]
[ 0.44037009  0.43668312  0.54464078  0.47885123  0.65482665  0.46774862
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[ 0.85187224]
[ 0.31825474  0.49844151  0.65944114  0.58242243  0.28976711  0.67401347
  0.39453969  0.74309914  0.58590743  0.70182472]
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  0.52187319  0.41253684  0.4411779   0.4741855 ]
[ 0.23060876]
[ 0.51740524  0.78222873  0.39698196  0.52313775  0.62262737  0.53182845
  0.49065258  0.37832054  0.30634259  0.41588721]
[ 0.74653991]
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  0.53987911  0.69657294  0.50956978  0.65984329]
[ 0.38211414]
[ 0.56271747  0.57194371  0.52717213  0.42334273  0.48287766  0.33732336
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[ 0.00090949]
[ 0.33834132  0.6268046   0.48477092  0.4259413   0.36115729  0.50629835
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[ 1.1250604]
[ 0.5057145   0.70210021  0.47048634  0.43729941  0.45564196  0.41499669
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[ 0.14244365]
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[-0.32245733]
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[ 0.15081083]
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[ 1.96440776]
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[ 0.03446627]
[ 0.36104431  0.46160815  0.70832216  0.31796874  0.37406765  0.47226001
  0.67181044  0.65091445  0.51967911  0.6546204 ]
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[ 0.84835868]
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[ 0.63693365]
[ 0.67731809  0.68375538  0.36671693  0.44156629  0.67490617  0.40575385
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[ 0.39811123  0.51828977  0.57475974  0.43322431  0.50120538  0.38644382
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[ 1.35531149]
[ 0.54686302  0.78302954  0.25374384  0.45900719  0.76253502  0.47293722
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[ 0.5390207   0.680334    0.53070051  0.51508688  0.43614671  0.48864723
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[ 3.21546357]
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[ 0.80223716]
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[ 1.14741209]
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[ 2.9989543]
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[ 1.04691386]
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[ 1.71579224]
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[ 2.02397769]
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[ 0.01095605]
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[ 1.56703924]
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[ 0.96949631]
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[ 0.17310667]
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[ 0.00592587]
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[ 0.13153341]
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[ 1.15222665]
[ 0.49023543  0.66370124  0.53603928  0.3944115   0.42071816  0.41011069
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[ 0.42005204  0.52630776  0.50829406  0.52174203  0.51381824  0.42261891
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[ 1.39644776]
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[ 0.02409427]
[ 0.51810011  0.67887601  0.39884518  0.45239647  0.6496108   0.3462269
  0.68079365  0.52435025  0.42019008  0.35227445]
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[ 0.3027594   0.58834217  0.48186732  0.48844956  0.52577381  0.40305731
  0.57597303  0.63034354  0.5150657   0.53472551]
[-0.12977521]
[ 0.35310647  0.5361971   0.57458141  0.46638817  0.43146096  0.58875175
  0.49056943  0.50059269  0.36560593  0.56342697]
[ 0.17370056]
[ 0.34604073  0.54543663  0.54852974  0.42242174  0.60194854  0.51482553
  0.5334757   0.54190479  0.48772643  0.55839436]
[-0.19482225]
[ 0.60903442  0.68496381  0.38862653  0.44827104  0.57714443  0.41360707
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[-0.93839955]
[ 0.54405315  0.69482267  0.48269774  0.46681868  0.32161613  0.4357713
  0.64608529  0.65315883  0.49532006  0.54483164]
Progress: 16.0% ... Training loss: 0.777 ... Validation loss: 1.293[-0.50159857]
[ 0.39253632  0.40780608  0.55172925  0.53833467  0.35129803  0.69364606
  0.49977029  0.69186577  0.58653997  0.65948176]
[ 0.32870391]
[ 0.41791262  0.55105546  0.50841594  0.49464268  0.56173847  0.49667327
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[-0.61948774]
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  0.50631802  0.5991863   0.60707904  0.52115321]
[ 1.52869857]
[ 0.47364321  0.59471693  0.51060328  0.52852085  0.55276912  0.42594703
  0.56836336  0.42410625  0.36740745  0.43429662]
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[ 0.42213262  0.62115302  0.48596518  0.54748595  0.50119002  0.6149356
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[-0.81965515]
[ 0.46156533  0.4939552   0.48170155  0.5170667   0.59321542  0.34792313
  0.54339752  0.30752125  0.41973298  0.41930948]
[ 0.37674236]
[ 0.44215926  0.69770023  0.48304914  0.39139982  0.39486584  0.42620453
  0.59413524  0.76796658  0.57323598  0.41120109]
[ 0.98081735]
[ 0.58040726  0.64622799  0.38052013  0.40600518  0.73355349  0.24977816
  0.58347953  0.52616158  0.48673247  0.47802879]
[ 0.74703537]
[ 0.47617842  0.60017394  0.36601662  0.428637    0.62651005  0.38843173
  0.50641101  0.4958307   0.42261587  0.46650253]
[ 1.85688608]
[ 0.71961274  0.67780439  0.44239716  0.50405008  0.47042181  0.48093799
  0.57801229  0.44345718  0.31220741  0.47040132]
[ 0.95913767]
[ 0.57981445  0.69118109  0.57098439  0.42259859  0.31458346  0.43049204
  0.64060164  0.69020028  0.38354583  0.5007093 ]
[ 1.11312542]
[ 0.64929103  0.63184184  0.35289253  0.56458393  0.51962197  0.41805535
  0.66634691  0.36981837  0.36174217  0.34487847]
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  0.51045014  0.71630325  0.57770639  0.57880035]
[ 0.82548917]
[ 0.45973648  0.52697123  0.44001067  0.4222231   0.63423099  0.3972684
  0.48905844  0.52508878  0.45245655  0.43720105]
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  0.64300666  0.36301657  0.33738146  0.38455739]
[-0.34898986]
[ 0.40599521  0.68152604  0.59750807  0.50797072  0.35910762  0.64040082
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[-1.07889946]
[ 0.4973013   0.62183955  0.41095651  0.46328982  0.60047301  0.5019437
  0.5391473   0.57501809  0.49842511  0.42663368]
[ 1.66511742]
[ 0.51821575  0.48693985  0.55459045  0.51094751  0.46527826  0.51957352
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[-0.47540723]
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  0.41954917  0.62438627  0.55265017  0.59196126]
[-0.54790874]
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  0.60967452  0.58773726  0.4017823   0.55758449]
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[ 0.40920809  0.52080957  0.59380826  0.45652237  0.26157754  0.64894475
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[ 0.04715036]
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[ 0.76819669]
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[ 2.46196453]
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[ 1.18978825]
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[ 0.09331367]
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[ 1.03129378]
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[ 0.24538356]
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[ 0.97524121]
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[ 0.36397683  0.4475944   0.65796162  0.42750098  0.44573502  0.51335483
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[ 0.05912157]
[ 0.44858056  0.60523783  0.59180271  0.48756923  0.3218753   0.3983904
  0.69393116  0.60273005  0.44099776  0.46155686]
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[ 0.41814544  0.42716984  0.75529461  0.37180694  0.27188057  0.41082155
  0.47327564  0.59192539  0.4564229   0.6799341 ]
[-1.22124034]
[ 0.5129668   0.6842795   0.53510211  0.51021358  0.59435457  0.3548031
  0.53749619  0.57826561  0.33703787  0.32547956]
[-0.05489444]
[ 0.5315018   0.52976315  0.54802866  0.4464245   0.41684933  0.5205993
  0.4248294   0.40836737  0.46289661  0.60419538]
[-0.4321354]
[ 0.4979962   0.58663536  0.47803395  0.52517126  0.48889504  0.60498712
  0.50567983  0.3517302   0.46049808  0.38462801]
Progress: 16.3% ... Training loss: 0.775 ... Validation loss: 1.292[-0.52706956]
[ 0.49105738  0.6529051   0.39267778  0.58152632  0.29688275  0.57192248
  0.57608721  0.66103981  0.54777368  0.51524101]
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[ 2.02251149]
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[ 1.71040975]
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[ 0.68410261]
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[ 0.33452083]
[ 0.62866867  0.65189981  0.27678134  0.49384927  0.703725    0.43521628
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[ 3.19464455]
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[ 0.56036596  0.43200149  0.57599351  0.46595093  0.40919935  0.44973181
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[ 0.43376574  0.43060408  0.58930754  0.47488566  0.3548229   0.4303031
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[ 0.71528207]
[ 0.46807226  0.59925667  0.54516481  0.45071723  0.41879108  0.47524169
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[ 0.26649982]
[ 0.52494447  0.60555962  0.53228656  0.49517252  0.47953218  0.38168146
  0.40778548  0.44640287  0.52270717  0.46095753]
Progress: 16.6% ... Training loss: 0.772 ... Validation loss: 1.283[ 0.51832338]
[ 0.52727149  0.74917585  0.36361709  0.37014925  0.61491156  0.2899832
  0.59912934  0.49263179  0.33781485  0.59396032]
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[ 0.30648918]
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[ 0.9016504]
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[ 0.58695376]
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[ 1.17764237]
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[ 0.07505763]
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[ 0.05009082]
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[ 0.95967144]
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[ 1.00526362]
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[ 0.12205816]
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[ 0.6575878]
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[ 0.34600228]
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[ 0.81813506]
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[ 0.48183172]
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[ 1.14997808]
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[ 1.56399553]
[ 0.45097437  0.69237833  0.39888134  0.46054161  0.68097564  0.40888686
  0.61979385  0.59529776  0.46071034  0.48062537]
[ 1.99126409]
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[ 0.47165026]
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[ 2.36975389]
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[ 0.59729843]
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[ 0.14429585]
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[ 0.4185212]
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[ 0.17181482]
[ 0.46826212  0.58707659  0.56686456  0.49255417  0.38790079  0.5038016
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[ 0.339114]
[ 0.45029816  0.67566875  0.46014788  0.4667728   0.68658919  0.30855278
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[ 0.23847346]
[ 0.43594901  0.67562754  0.42010012  0.35536442  0.51386987  0.4108113
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[ 1.09154227]
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[ 0.36707587  0.42878412  0.57802526  0.54696725  0.46068679  0.68864227
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[ 0.36486878  0.48140346  0.57575093  0.44781993  0.52714431  0.61013227
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[ 2.1972412]
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[ 0.11057566]
[ 0.54631323  0.68610814  0.42789978  0.48475736  0.61099957  0.35444468
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[ 3.09223186]
[ 0.39706826  0.57570893  0.51337513  0.52216645  0.51520843  0.44307502
  0.51586938  0.59389547  0.40873523  0.36516852]
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[ 0.38524057  0.47391686  0.5928119   0.50348823  0.29582563  0.64280178
  0.52090685  0.71292372  0.63249228  0.53462676]
[ 3.33221023]
[ 0.52863871  0.64262534  0.45114756  0.43999684  0.72337538  0.37392676
  0.55443848  0.43866221  0.36383202  0.32121103]
[ 0.59474308]
[ 0.34150935  0.69837475  0.51645522  0.3933792   0.66170929  0.38870087
  0.61297516  0.52626673  0.39145632  0.47396006]
[-0.69532699]
[ 0.37774811  0.60418877  0.46795726  0.41580045  0.64741737  0.40470644
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[-0.6776361]
[ 0.45491685  0.52276578  0.57705619  0.44550907  0.37300668  0.56523991
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[-0.49137502]
[ 0.45140279  0.59396181  0.57479205  0.35248559  0.52842351  0.51268033
  0.56243123  0.44314167  0.40047763  0.54697885]
Progress: 16.9% ... Training loss: 0.771 ... Validation loss: 1.287[-0.77562188]
[ 0.44171457  0.61031734  0.63106052  0.47633135  0.39887157  0.4306937
  0.64969798  0.48776034  0.3407062   0.53373064]
[ 2.07938719]
[ 0.5131948   0.58043923  0.4491802   0.39071178  0.57624     0.37700084
  0.6291726   0.30183884  0.37118326  0.34506247]
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[-0.45333958]
[ 0.3963307   0.39175772  0.65697794  0.54304559  0.21724305  0.64622145
  0.53851441  0.59285894  0.53624742  0.66546037]
[ 0.77448279]
[ 0.46517287  0.74749588  0.5196199   0.37746527  0.73810522  0.43742753
  0.6220463   0.56460377  0.38443292  0.42677407]
[-0.51911658]
[ 0.42724797  0.40986596  0.55736395  0.44950884  0.52541488  0.35824783
  0.49925195  0.36347594  0.47486076  0.4464308 ]
[ 0.94908079]
[ 0.47120862  0.62985007  0.54482262  0.36637618  0.74403337  0.37778943
  0.59011523  0.59629287  0.41734147  0.2781344 ]
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[-0.24663428]
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[-0.34228239]
[ 0.53037333  0.56892095  0.73167141  0.46681071  0.24800111  0.5805391
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[-1.06764018]
[ 0.4835843   0.64205285  0.38366015  0.47583256  0.54964923  0.44388172
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[-0.29989863]
[ 0.47400242  0.59742301  0.52766326  0.3969984   0.46876064  0.29978776
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[ 0.19077308]
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[ 1.67643221]
[ 0.5885762   0.71942509  0.3252059   0.54497764  0.59058895  0.41798776
  0.58430109  0.3940081   0.35653519  0.40407961]
[ 1.68243565]
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  0.54484103  0.46237308  0.4021705   0.44135851]
[-1.06084877]
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[ 0.80350362]
[ 0.56100424  0.67043628  0.42974015  0.48702482  0.56415103  0.37926622
  0.53188265  0.57518895  0.36933132  0.41541721]
[ 0.32738488]
[ 0.57288602  0.55498529  0.42246043  0.50951063  0.58546892  0.44041845
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  0.50147862  0.56224263  0.56711866  0.39228377]
[ 3.01240433]
[ 0.44289131  0.50757568  0.56790092  0.48284414  0.48988419  0.54925174
  0.51362146  0.47827818  0.50541819  0.30745841]
[ 0.02990859]
[ 0.50064276  0.5814233   0.62322627  0.55037907  0.43957481  0.55135358
  0.44325054  0.4842582   0.35987677  0.50825221]
[ 2.12702975]
[ 0.59703454  0.66316807  0.48399233  0.41653354  0.59126801  0.44905394
  0.55715428  0.44956927  0.34487226  0.3253989 ]
[-1.00318732]
[ 0.53840025  0.50610441  0.57560874  0.42808581  0.39450222  0.33243954
  0.65283797  0.47118186  0.35364748  0.52859797]
[ 1.14775628]
[ 0.42778848  0.50547829  0.44686336  0.4697626   0.63073734  0.35134612
  0.65805087  0.40378064  0.42130183  0.47018293]
[ 0.66754626]
[ 0.51550294  0.67303774  0.46139847  0.40807729  0.71170074  0.29641573
  0.61420312  0.49059957  0.27750458  0.4300552 ]
[ 0.92971445]
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[ 0.40944225]
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[ 1.47055632]
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[ 0.63765147]
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[ 0.22174008]
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[ 0.90100387]
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  0.52066853  0.56440331  0.4036581   0.63613445]
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[ 0.46400003  0.6783696   0.38135868  0.48520834  0.44865398  0.55451363
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[ 1.42220855]
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[ 0.49214904]
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[ 0.66398957]
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  0.57445536  0.31363297  0.31231981  0.42047209]
[ 3.64246689]
[ 0.45739129  0.61095375  0.4739338   0.42509213  0.7078507   0.31280418
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[ 0.09799898]
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[ 0.62414677]
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[ 0.15210005]
[ 0.60020626  0.77506762  0.34070504  0.44843459  0.64922655  0.37642039
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[ 1.14285356]
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[ 0.52199059]
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[ 1.07991045]
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[ 0.19076717]
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[ 1.67217744]
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[ 2.355235]
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[ 0.36597336]
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[ 0.60250378]
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[ 0.6988171]
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[ 0.05016641]
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[ 0.34962546]
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[ 1.60345902]
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[ 0.29287981]
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[ 0.06554193]
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[ 0.30983318]
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[ 0.70321122]
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[ 0.24989486]
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[ 0.48936012]
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[ 2.29412417]
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[ 0.28626707]
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[ 0.17602981]
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[ 0.90678632]
[ 0.53148208  0.69472332  0.52251131  0.39552213  0.46123469  0.45364522
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[ 3.50109416]
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[ 0.8693962]
[ 0.61788697  0.67497346  0.46952232  0.38639392  0.66800081  0.3952472
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[ 0.92968805]
[ 0.60352983  0.72786954  0.32590583  0.44666225  0.8458665   0.22758242
  0.68517128  0.42327286  0.39901667  0.3449121 ]
[-1.06921714]
[ 0.5744358   0.49491924  0.42764188  0.53750244  0.57391993  0.37268151
  0.57284341  0.36159209  0.46921981  0.43577553]
[-0.62952126]
[ 0.41737915  0.47520274  0.6668614   0.47648341  0.48526067  0.35192221
  0.47839056  0.56163326  0.41494846  0.4423323 ]
[ 0.14187733]
[ 0.3563994   0.38246892  0.63834734  0.494033    0.26322155  0.59666704
  0.39193122  0.53185167  0.68283796  0.70057108]
[-0.73698204]
[ 0.47605874  0.62867706  0.4187079   0.53598949  0.607452    0.43433234
  0.51169976  0.46027609  0.45384597  0.4643996 ]
Progress: 17.1% ... Training loss: 0.768 ... Validation loss: 1.269[-0.76733586]
[ 0.35902186  0.45602821  0.57485955  0.51392142  0.51426524  0.59728328
  0.4958082   0.63574026  0.54635826  0.5550225 ]
[-0.2529556]
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[-0.41333531]
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  0.46490241  0.50237362  0.4740169   0.56945684]
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[ 0.35836832  0.60883934  0.57406985  0.4195904   0.41232856  0.5477465
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[ 0.64961935]
[ 0.38530982  0.55560166  0.46239465  0.49552949  0.47667827  0.64638477
  0.46050228  0.61850393  0.50675022  0.65086357]
[ 1.08277204]
[ 0.56726595  0.60706701  0.36818675  0.46394894  0.72279228  0.21009505
  0.65561568  0.43004181  0.40274612  0.47498796]
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  0.43761649  0.48204841  0.42068143  0.61251907]
[-0.90406752]
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  0.57112739  0.44482772  0.47821018  0.47880063]
[ 0.02825074]
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  0.59262767  0.54418117  0.37589295  0.48116415]
[-0.60684304]
[ 0.36169514  0.45818795  0.58202239  0.54762468  0.54081071  0.54448732
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[-0.27789229]
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[-0.21023]
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  0.46665456  0.44565326  0.36385509  0.48286569]
[ 0.33203175]
[ 0.38262819  0.52159219  0.65913123  0.35942697  0.518411    0.62372313
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[ 0.32849004]
[ 0.53704199  0.59204116  0.55031155  0.52040978  0.44949527  0.54018551
  0.54120936  0.6650182   0.41209849  0.48471866]
[ 1.66838394]
[ 0.32266322  0.47921016  0.65992998  0.5394906   0.35581302  0.59058145
  0.51877357  0.70114523  0.52310829  0.43898488]
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  0.61637656  0.45610425  0.40983783  0.44805208]
[-0.58744023]
[ 0.42487374  0.42389452  0.52919093  0.55804955  0.37220641  0.39715781
  0.59083438  0.7073216   0.53417932  0.6297153 ]
[ 1.55090606]
[ 0.49258681  0.62577505  0.51449837  0.51374328  0.55260964  0.35946703
  0.58172994  0.5493221   0.42390815  0.50590671]
[ 1.77394609]
[ 0.49983854  0.62727525  0.4473806   0.46240682  0.50443174  0.33222772
  0.7031583   0.56233039  0.32797526  0.50527258]
[-0.69421931]
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  0.54469951  0.51408498  0.38075712  0.55653352]
[-0.05513977]
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[-0.65047239]
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[ 0.39409821]
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  0.53555862  0.46760782  0.46756801  0.5054196 ]
[ 1.84281044]
[ 0.33597589  0.43549942  0.63371934  0.53413928  0.33421951  0.53079414
  0.59976361  0.68036824  0.53718235  0.38579799]
[ 2.39322809]
[ 0.58659547  0.65475006  0.61373835  0.32926739  0.68213718  0.32277245
  0.64997547  0.5817668   0.2257621   0.36398647]
[ 0.14642796]
[ 0.37107009  0.56976383  0.54784874  0.49858771  0.43327792  0.57260102
  0.43319668  0.59206639  0.49383818  0.60804359]
[-0.29227132]
[ 0.5536758   0.58506821  0.42477538  0.4997916   0.52634422  0.43805753
  0.64554894  0.66363158  0.50797735  0.40856095]
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[ 0.09218725]
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[ 1.05347674]
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[ 0.52588989]
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[ 0.39409821]
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[ 1.01789722]
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[ 0.59063062]
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[ 0.78508807]
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[ 0.94600242]
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[ 1.66881765]
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[ 0.35926102]
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[ 1.28985328]
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[ 0.32415032]
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[ 0.14422903]
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[ 0.02193561]
[ 0.38332566  0.604777    0.40660626  0.42275334  0.60028515  0.42277506
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[ 0.54304899]
[ 0.44987851  0.60836686  0.41610406  0.60184002  0.28058841  0.55410121
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[ 2.66484522]
[ 0.38889265  0.6493822   0.61422242  0.34568399  0.49729208  0.39811871
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[ 0.59256556  0.52375093  0.52792566  0.43923572  0.47721183  0.3456329
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[-0.77400245]
[ 0.42254714  0.60331452  0.44422842  0.51983817  0.56512818  0.44575077
  0.5421738   0.62438781  0.44869571  0.48914776]
[ 0.0499374]
[ 0.55923732  0.64774817  0.4179384   0.36708418  0.72015153  0.2599029
  0.68631631  0.49623709  0.35293215  0.49055552]
[-0.48747793]
[ 0.38417238  0.4867959   0.43592249  0.49516124  0.4543144   0.39248936
  0.56263411  0.45852684  0.52999334  0.64800732]
[-1.11662686]
[ 0.49230958  0.59178673  0.38689464  0.48674231  0.72913718  0.37785758
  0.62907152  0.44588167  0.40034238  0.38731895]
Progress: 17.4% ... Training loss: 0.767 ... Validation loss: 1.255[-0.56797379]
[ 0.37444166  0.39679065  0.62688189  0.52840774  0.30669413  0.58870842
  0.4692097   0.46646841  0.52462464  0.68752843]
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[ 0.57993105  0.54276752  0.5597459   0.5091127   0.37320105  0.40830716
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  0.55563135  0.57859115  0.5395484   0.52315295]
[ 1.31711411]
[ 0.41741916  0.64740933  0.48237051  0.51687251  0.57427928  0.45428984
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[ 0.61346328]
[ 0.39863851  0.70159463  0.33269111  0.43494277  0.66611539  0.39737592
  0.70217484  0.46637661  0.31671696  0.41099927]
[ 2.06500992]
[ 0.37921712  0.37957338  0.64394666  0.49732692  0.29951565  0.42354204
  0.68316542  0.54016601  0.4035602   0.47319307]
[ 1.12271263]
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  0.61591371  0.42357323  0.49142447  0.47569296]
[-1.01491651]
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[-0.8708601]
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[ 0.47779731  0.62101915  0.43469963  0.50998685  0.38051383  0.53469313
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[ 0.75127308]
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[ 0.73041747  0.74052941  0.34483855  0.51091903  0.61620461  0.3724689
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[ 0.72314748]
[ 0.47006253  0.61427928  0.5032422   0.45468264  0.5809742   0.41158042
  0.52961135  0.46554346  0.46426776  0.56838253]
[ 3.66014451]
[ 0.41221362  0.62849473  0.39862991  0.38058838  0.69256806  0.42047643
  0.54215507  0.53173426  0.39075966  0.45787075]
[-0.94024162]
[ 0.54435049  0.58484434  0.50069345  0.48033022  0.46868335  0.51418642
  0.60753442  0.69228243  0.48532406  0.59231086]
Progress: 17.7% ... Training loss: 0.765 ... Validation loss: 1.248[-0.63642753]
[ 0.28021022  0.42581025  0.67710079  0.42414446  0.29651975  0.4679524
  0.5841491   0.64866586  0.58429045  0.55538887]
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[ 0.42737154  0.48336869  0.68820756  0.43637758  0.34806664  0.5712044
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[ 1.72180638]
[ 0.33383392  0.48756469  0.61853216  0.52031112  0.45768036  0.60768382
  0.42092615  0.61706124  0.52793368  0.6034995 ]
[ 0.09515081]
[ 0.37239174  0.55068621  0.6009957   0.45823119  0.39503472  0.43218122
  0.64925386  0.6010376   0.53619131  0.36374108]
[ 1.52662041]
[ 0.48664717  0.65891495  0.48032827  0.40544038  0.51456018  0.3610929
  0.53644597  0.54829571  0.34542904  0.526679  ]
[ 1.06277522]
[ 0.38480648  0.61147877  0.51378128  0.35007203  0.72473342  0.38650431
  0.4989415   0.40718449  0.39024294  0.48231671]
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[ 0.06596187]
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[ 0.4687354]
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[ 0.43907473]
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[ 0.23587135]
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[ 0.26266732]
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[ 0.0657951]
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[ 0.29156401]
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[ 0.95978145]
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[ 0.11906087]
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[ 2.155769]
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[ 1.74897689]
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[ 0.12359411]
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[ 0.21303419]
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[ 0.78119969]
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[ 0.01737808]
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[ 1.24981367]
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[ 0.23012872]
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[ 0.01968027]
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[ 0.02846324]
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[ 0.17441482]
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[ 1.52593006]
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[ 2.12941444]
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[ 0.2064731]
[ 0.55394683  0.58107623  0.51503641  0.45942002  0.46074509  0.52845702
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[ 1.19332185]
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[ 2.59293737]
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[ 2.57492088]
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[ 0.28052602]
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[ 0.33050735  0.48702985  0.6284804   0.38540034  0.43517976  0.44858197
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[ 0.40426303  0.56767479  0.54147048  0.49920331  0.37061987  0.66767597
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[ 0.61490084  0.70506811  0.43519225  0.42712347  0.55046916  0.38498198
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[ 0.45282059  0.6142268   0.50656456  0.4053651   0.50039023  0.54955834
  0.44684984  0.5506299   0.54741485  0.52397118]
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[ 0.42260594  0.43136285  0.68335252  0.47783614  0.15948272  0.58148827
  0.57878177  0.59982439  0.58564156  0.62814184]
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[ 0.40576432  0.61707495  0.51240198  0.44848462  0.51888198  0.39772677
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[ 0.6303457]
[ 0.3262468   0.45315246  0.67323984  0.33693081  0.46063856  0.44377446
  0.5434229   0.40478079  0.55065965  0.37843492]
Progress: 18.0% ... Training loss: 0.762 ... Validation loss: 1.274[ 0.62591702]
[ 0.65675734  0.68495775  0.44535241  0.51055217  0.34475726  0.44938205
  0.60603064  0.61640495  0.38212288  0.6081019 ]
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[ 0.42205418  0.50718055  0.47712683  0.34638673  0.59473521  0.25979191
  0.7007272   0.60395823  0.41526534  0.52965741]
[ 1.12355993]
[ 0.38894785  0.60158548  0.53404457  0.47123842  0.51091439  0.51852892
  0.47722387  0.41604785  0.37636663  0.52008411]
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[ 0.42984502  0.57490501  0.61530475  0.4178388   0.49185648  0.45148745
  0.53457586  0.45932218  0.43468791  0.46349295]
[ 0.40663761]
[ 0.57211844  0.73063779  0.46646508  0.41774611  0.58258723  0.48659296
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  0.51333933  0.67117412  0.54202854  0.60752199]
[ 1.68464599]
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  0.5635654   0.31796992  0.48314971  0.32303102]
[ 0.97957366]
[ 0.51006603  0.61212232  0.58900048  0.40281322  0.6205072   0.3853912
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[ 2.13194367]
[ 0.56390514  0.55582572  0.64999988  0.36795916  0.50656114  0.48372746
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[ 0.20575083]
[ 0.29650284  0.54365274  0.40916147  0.51971939  0.43722766  0.68840808
  0.50436614  0.5864608   0.5318691   0.61283912]
[ 0.77262266]
[ 0.37663366  0.59676887  0.55697733  0.57277812  0.33374487  0.46925784
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[ 0.21178318]
[ 0.48286879  0.65550321  0.39323161  0.4594361   0.70741199  0.54965479
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[ 2.48930125]
[ 0.54406494  0.55706736  0.49254591  0.50526301  0.53890374  0.40729263
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[ 0.18905094]
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  0.66823135  0.56032926  0.30052643  0.51011787]
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[ 2.17241478]
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[ 0.22064991]
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[ 1.56590352]
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[ 0.94315494]
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[ 1.04375358]
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[ 0.20718462]
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[ 1.9045113]
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[ 1.00821921]
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[ 2.78195924]
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[ 0.42380728]
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[ 1.68464599]
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[ 1.18092208]
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[ 2.01908307]
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[ 0.52088807]
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[ 0.25701741]
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[ 0.66886518]
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[ 1.26827527]
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[ 2.39557123]
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[ 1.02869401]
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[ 0.95061774]
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[ 0.60164971]
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[ 1.54994885]
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[ 0.39715079]
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[ 1.61339099]
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[ 0.69783291]
[ 0.58513425  0.59871301  0.33917147  0.40762246  0.80969957  0.14938366
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[ 0.70403997]
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  0.56339796  0.57616938  0.32514821  0.46579046]
[ 0.71515886]
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[ 0.01536509]
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[ 0.42344127]
[ 0.59854865  0.5494288   0.44555407  0.41424749  0.54475796  0.44780421
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[ 0.39025125  0.67741227  0.57139408  0.41667397  0.4478511   0.53091605
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[ 3.39593499]
[ 0.59088491  0.67496643  0.4779084   0.42023596  0.56932396  0.46499011
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[ 2.06134364]
[ 0.57794075  0.66996318  0.39071342  0.42548516  0.75060946  0.32837605
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[ 0.06376788]
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[ 3.14922209]
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[ 2.06488127]
[ 0.58820237  0.63582088  0.42987038  0.51079594  0.64819144  0.3480148
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[ 0.12353742]
[ 0.4970665   0.56101395  0.38331658  0.56884764  0.57066463  0.33221781
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[ 0.4745137   0.60550082  0.61915158  0.45600972  0.60896275  0.40288547
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[ 1.15911781]
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[ 0.68219507]
[ 0.34090013  0.52407387  0.7660133   0.40908128  0.25075597  0.62091815
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[ 0.50416884]
[ 0.51722069  0.6268629   0.59815266  0.45947075  0.52893037  0.37807582
  0.62961691  0.51294339  0.32392681  0.4873106 ]
[ 1.38463317]
[ 0.42308261  0.4961617   0.57564825  0.42053595  0.47276291  0.57117033
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[-0.25069894]
[ 0.31613211  0.47696914  0.5767236   0.58888176  0.51347315  0.59562973
  0.48765919  0.63937005  0.5539636   0.60440004]
[ 1.91106295]
[ 0.43633626  0.72399729  0.53255298  0.47213903  0.60438638  0.42272556
  0.51736647  0.56074778  0.27517131  0.45659143]
[ 0.31716879]
[ 0.29439745  0.45463746  0.64592903  0.42532657  0.32459473  0.61906313
  0.56188095  0.58148984  0.63045407  0.45831682]
[-0.74724328]
[ 0.40347701  0.56012985  0.4550861   0.51165757  0.53325274  0.47674991
  0.50539852  0.65901853  0.4962713   0.5154061 ]
[-0.60199774]
[ 0.4022436   0.41645796  0.59439746  0.48717489  0.45059722  0.63809651
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[-0.44767304]
[ 0.27966254  0.47206179  0.70932777  0.39012168  0.25891242  0.63656863
  0.45373402  0.61724808  0.60762372  0.61472261]
Progress: 18.3% ... Training loss: 0.759 ... Validation loss: 1.254[-0.98927358]
[ 0.6275538   0.4855358   0.55295175  0.56380132  0.52528006  0.40329597
  0.56747632  0.47152179  0.51142002  0.47199744]
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  0.5290525   0.37270103  0.3856438   0.44848816]
[ 1.58671308]
[ 0.56213894  0.64330657  0.54311505  0.39603351  0.47540885  0.42284989
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[ 0.53424742]
[ 0.53552974  0.70596281  0.46146892  0.52940084  0.58402965  0.55458285
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[ 0.11874236]
[ 0.54075066  0.68332537  0.41743737  0.56734409  0.45089376  0.42750795
  0.54056563  0.63020969  0.45880603  0.47242573]
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[ 1.56408945]
[ 0.5096401   0.67511552  0.41115991  0.51122657  0.64747142  0.35542102
  0.71573141  0.22761099  0.28274097  0.38530848]
[ 0.29226931]
[ 0.41179897  0.61860465  0.34101475  0.48658763  0.52719246  0.60106369
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[-0.67227055]
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  0.52376725  0.55500082  0.49407429  0.4038127 ]
[ 0.11190724]
[ 0.4234366   0.50862817  0.68267468  0.46389089  0.35509199  0.56174399
  0.5222143   0.59195063  0.51658063  0.50002766]
[-1.02350575]
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[-0.51394515]
[ 0.25616122  0.46495652  0.68688011  0.50373881  0.39551907  0.49555796
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[-0.94999761]
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  0.73426281  0.48181641  0.37137891  0.49880478]
[-0.43175023]
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[ 0.08509316]
[ 0.36067412  0.50465897  0.50689778  0.46557742  0.48251204  0.45216479
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[ 0.36240111  0.48979485  0.43769187  0.57397514  0.36384742  0.61361451
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  0.65341059  0.48348368  0.34522049  0.45950637]
[ 0.0797812]
[ 0.39231442  0.7768315   0.52951299  0.53726763  0.39915214  0.61635339
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[ 0.37574353  0.40701374  0.61880957  0.40377148  0.45522213  0.41144743
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[ 1.71164846]
[ 0.47301079  0.62158987  0.43944994  0.41914156  0.68672034  0.26164754
  0.6402755   0.41168447  0.34763868  0.4240747 ]
[ 0.52513771]
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[ 1.13654232]
[ 0.37678123  0.43637032  0.61720552  0.45210781  0.34334421  0.47273919
  0.6183881   0.61473727  0.33735953  0.52267876]
[ 0.83390331]
[ 0.48853975  0.66383371  0.42604398  0.42590037  0.63120595  0.36390372
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[ 3.22330068]
[ 0.44623077  0.66487534  0.50409887  0.40711641  0.66014984  0.45855787
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[ 1.32890441]
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[ 0.57122928  0.47209983  0.54776279  0.46596313  0.58839372  0.32136633
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[ 2.34316523]
[ 0.47431901  0.63633446  0.44668286  0.40192449  0.64990022  0.25487888
  0.62106743  0.42101631  0.33456482  0.41754792]
[ 0.43171269]
[ 0.72534974  0.7472853   0.48011759  0.46355724  0.46553522  0.3641714
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[-0.17807798]
[ 0.57397466  0.66201616  0.43288534  0.48879684  0.69050919  0.35986907
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[ 1.12165998]
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[ 0.30049603]
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[ 1.03779068]
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[ 2.59811659]
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[ 1.47251793]
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[ 0.39796641]
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[ 0.01299159]
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[ 1.22134536]
[ 0.57224751  0.67205661  0.41728683  0.47567054  0.59782615  0.43306344
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[ 0.90310119]
[ 0.46225716  0.70019239  0.55484041  0.46432583  0.44636914  0.41990667
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[ 0.06781845]
[ 0.53074531  0.56570262  0.45404322  0.44552377  0.52086383  0.28611848
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[ 3.18724669]
[ 0.50976067  0.73542399  0.42101198  0.32581028  0.78228127  0.2485483
  0.73493613  0.54889058  0.29093202  0.42555335]
[ 1.4689939]
[ 0.4663143   0.68389943  0.50014716  0.38400469  0.6532591   0.31988782
  0.70314983  0.6087252   0.338962    0.55763227]
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[ 0.40459908  0.50593906  0.63149432  0.39461814  0.31117872  0.50506226
  0.41320249  0.50037064  0.55425585  0.69172219]
[ 0.06257319]
[ 0.48987732  0.6257869   0.50024593  0.38496668  0.62872134  0.51964181
  0.56705869  0.68801322  0.45212775  0.53771665]
[ 0.06124252]
[ 0.46574185  0.56612303  0.57805776  0.54085523  0.44673954  0.51081734
  0.46393996  0.54388218  0.39233359  0.58863049]
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[ 0.54795403  0.59691927  0.46856324  0.46703303  0.57599348  0.41911036
  0.5603382   0.55924433  0.42960986  0.51387876]
[-0.46011795]
[ 0.44665715  0.46615653  0.53665056  0.48737496  0.63813957  0.31737866
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[-0.15142993]
[ 0.5699279   0.63541501  0.45808442  0.4057839   0.60758392  0.49582091
  0.53851422  0.29198598  0.40637236  0.5594019 ]
Progress: 18.6% ... Training loss: 0.757 ... Validation loss: 1.256[ 0.20718418]
[ 0.65004466  0.64726182  0.47152539  0.45203582  0.47843851  0.44957431
  0.5364366   0.64335936  0.47684422  0.54949546]
[-0.77413505]
[ 0.50581578  0.55051191  0.5447904   0.54790192  0.41258439  0.58790631
  0.51095277  0.56730142  0.50643146  0.56344588]
[ 2.17410828]
[ 0.43623715  0.66135102  0.58363028  0.41935117  0.52267775  0.42133657
  0.5767431   0.56728575  0.33089733  0.49518558]
[ 0.60804148]
[ 0.38991649  0.51726415  0.49476011  0.54540984  0.51347682  0.54351543
  0.47561789  0.64830476  0.57748639  0.51999422]
[-1.22652776]
[ 0.59647532  0.69425417  0.44757956  0.46356302  0.60871583  0.39844511
  0.59416229  0.58280323  0.37478082  0.45597199]
[ 0.3306489]
[ 0.61424152  0.72269527  0.40767794  0.45606059  0.73776805  0.36999412
  0.65308483  0.48418684  0.4398738   0.31935158]
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  0.46016774  0.47463973  0.50658388  0.67422278]
[ 0.41042663]
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  0.49217594  0.44550192  0.4521585   0.60267356]
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[ 0.26610317]
[ 0.4855084   0.62566372  0.4549871   0.40456457  0.60245629  0.31924288
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[ 0.49614818  0.54542381  0.47200872  0.47725805  0.70335347  0.42537316
  0.6132243   0.34283122  0.41619979  0.2506686 ]
[ 0.99240662]
[ 0.45019471  0.58708214  0.70010102  0.45024851  0.5744968   0.51042475
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  0.43794037  0.5759328   0.4737146   0.57831584]
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  0.52058209  0.39125628  0.36570374  0.45066827]
[ 0.29261013]
[ 0.39704737  0.55928543  0.5844484   0.43341329  0.38086399  0.38214519
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[ 0.37950587  0.62660825  0.63893546  0.34639018  0.58615827  0.4501342
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[ 0.56313976  0.57272699  0.34730186  0.55547644  0.55796281  0.58136547
  0.49639347  0.40639488  0.51961408  0.4270587 ]
[ 0.22846717]
[ 0.46264226  0.67300534  0.45840711  0.37120622  0.69862359  0.19107278
  0.71467358  0.40546424  0.35649242  0.34939236]
[-0.87257821]
[ 0.50202546  0.58689981  0.49955374  0.59434377  0.43966291  0.55690605
  0.54109157  0.37613351  0.43015372  0.42279585]
[ 0.54625328]
[ 0.48164505  0.53316007  0.49277581  0.55847212  0.4076792   0.50526721
  0.50650938  0.57892696  0.49187187  0.60486565]
Progress: 18.9% ... Training loss: 0.755 ... Validation loss: 1.267[ 2.41670196]
[ 0.45750941  0.58410293  0.63453938  0.40462142  0.48888128  0.37363616
  0.62148352  0.42206266  0.34762464  0.47335435]
[ 0.8726635]
[ 0.4137094   0.64086085  0.44664667  0.44574101  0.52338157  0.35994412
  0.59283719  0.40382592  0.40796556  0.45372678]
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[ 0.41371267  0.56272473  0.5416771   0.41621268  0.58264627  0.29079511
  0.45377203  0.39346227  0.47583869  0.50717014]
[-0.5461589]
[ 0.4027493   0.31573067  0.5948481   0.51714932  0.50893797  0.48824332
  0.43698559  0.53335899  0.55064105  0.57144956]
[-0.45279949]
[ 0.37259247  0.64852202  0.58173665  0.54898744  0.42467306  0.45037103
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[ 0.61667421  0.62785556  0.47974003  0.46750654  0.47100177  0.41206081
  0.5822177   0.51475634  0.41098498  0.54349287]
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[ 0.43554659]
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[ 2.16281703]
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[ 1.14876854]
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[ 0.584419]
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[ 1.40367932]
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[ 1.90988921]
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[ 0.61004156]
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[ 2.11638887]
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[ 0.31010997]
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[ 0.00338019]
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[ 3.11834537]
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[ 0.54555723]
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[ 3.15807951]
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[ 1.8521317]
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[ 0.01472214]
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[ 0.46648637]
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[ 1.97766391]
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[ 0.60821553  0.6496208   0.37700574  0.45329715  0.63444735  0.53897752
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[ 0.52764612]
[ 0.35392024  0.69418592  0.51283332  0.48004588  0.46319753  0.47103036
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[ 0.59805652  0.48582401  0.45113976  0.49737762  0.53337474  0.28895249
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[ 0.39404088  0.5463915   0.60865952  0.38184241  0.54972164  0.48882869
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[ 0.38399339  0.499445    0.58621646  0.49029912  0.35991407  0.42124995
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[ 0.07915414]
[ 0.48489909  0.56560473  0.5576655   0.35397513  0.56283748  0.33493752
  0.52345489  0.42391525  0.46383409  0.48803439]
Progress: 19.1% ... Training loss: 0.754 ... Validation loss: 1.272[ 0.06855813]
[ 0.47161469  0.66728696  0.42178591  0.48124336  0.61190547  0.41426345
  0.50529947  0.51135936  0.37838603  0.38841439]
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[ 1.06366243]
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[ 0.21684377]
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[ 1.53863538]
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[ 0.15220307]
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[ 0.36177014]
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[ 1.04796668]
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[ 0.23185829]
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[ 1.86307117]
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[ 1.91599249]
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[ 0.18975873]
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[ 0.75170619]
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[ 1.26293688]
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[ 0.97239492]
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[ 0.05100055]
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[ 0.88509725]
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[ 1.61234922]
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[ 1.2944406]
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[ 0.51167015]
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[ 0.40817571]
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[ 1.44262302]
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[ 0.56391273]
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[ 0.09834825]
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[ 1.59010197]
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[ 1.03934415]
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[ 0.67279415]
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[ 0.93142306]
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[ 3.06234596]
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[ 1.05740058]
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[ 0.70380625]
[ 0.43650565  0.50939682  0.61590077  0.4301573   0.43051753  0.40855798
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[ 0.01068392]
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[ 0.67382073  0.67003753  0.34877592  0.58057759  0.53057301  0.41781026
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[ 0.10707483]
[ 0.4021332   0.67775525  0.45205102  0.46814901  0.44783255  0.53570082
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[ 0.4848735   0.63223999  0.53910679  0.37413238  0.3399372   0.3254809
  0.71765503  0.58513322  0.35429147  0.6464121 ]
[ 0.2048945]
[ 0.42881717  0.53507486  0.57770672  0.31664076  0.41053366  0.26402158
  0.60651833  0.49116255  0.37762709  0.67826492]
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[ 0.48860984  0.49429445  0.43174739  0.48669643  0.46293172  0.36857508
  0.56417569  0.57607619  0.5510252   0.64836705]
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[ 0.31237573  0.48573121  0.72801757  0.45801306  0.36276982  0.56379591
  0.5801476   0.62764846  0.49675407  0.63294472]
Progress: 19.4% ... Training loss: 0.752 ... Validation loss: 1.276[ 0.95924499]
[ 0.45253891  0.60152249  0.5868847   0.38212935  0.43493528  0.46398178
  0.47105691  0.46601526  0.44105195  0.54624095]
[ 1.20239646]
[ 0.50613144  0.54758111  0.42289724  0.33046509  0.70258622  0.23411084
  0.56125014  0.32703778  0.41096863  0.37819092]
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  0.53121222  0.59357794  0.55097325  0.61767169]
[ 0.23162274]
[ 0.50228779  0.63960796  0.51586089  0.44231327  0.60690029  0.3696674
  0.50964103  0.29011074  0.3975799   0.42444046]
[ 0.16020322]
[ 0.4483823   0.60842105  0.46424221  0.44251965  0.59071168  0.42918432
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[ 0.41697608  0.52229429  0.4233378   0.6325814   0.35245955  0.59146008
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[ 0.01002847]
[ 0.44643804  0.55368797  0.63842811  0.28344771  0.51921     0.23364504
  0.59517121  0.49552358  0.32165168  0.54265683]
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  0.52323966  0.31649286  0.40642199  0.40359824]
[ 1.64791244]
[ 0.5642383   0.73993198  0.33081346  0.42711388  0.71321546  0.36767548
  0.63723133  0.47773776  0.32283402  0.4082839 ]
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[ 0.34764865]
[ 0.55519708  0.63605541  0.53995303  0.36394792  0.43369744  0.3808228
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  0.42854585  0.55551813  0.49160199  0.5696657 ]
[ 1.16271103]
[ 0.51568891  0.49520244  0.51934451  0.48908366  0.60369798  0.41667764
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[ 0.46593413]
[ 0.66561373  0.66278715  0.35786466  0.53329893  0.52553181  0.38996074
  0.65032347  0.40968074  0.34998027  0.49064746]
[ 1.44255211]
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[ 0.348677    0.54796153  0.53544     0.50596375  0.33520049  0.59210347
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[ 0.32103472]
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[ 1.20522792]
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[ 0.04548308]
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[ 1.49527835]
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[ 0.07189355]
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[ 0.44939093]
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[ 1.68959653]
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[ 1.6765268]
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[ 0.2440976]
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[ 0.80464012]
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[ 1.16514824]
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[ 1.2645208]
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[ 1.03663762]
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[ 0.49611205]
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[ 0.10572527]
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[ 0.00994417]
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[ 0.19356403]
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[ 1.27853439]
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[ 0.299626]
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[ 1.46338543]
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[ 1.34349757]
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[ 0.26285879]
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[ 0.2951202]
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[ 0.47036447  0.56507197  0.44964574  0.53989867  0.51408508  0.50917957
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[ 0.44681749]
[ 0.65735369  0.66343922  0.3938549   0.47451216  0.73541993  0.38220931
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[ 0.57346408  0.5692862   0.30071925  0.55738524  0.63975136  0.49768072
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[ 0.64941257]
[ 0.54115548  0.73816531  0.36583792  0.36813388  0.62642175  0.37232096
  0.56707948  0.41183582  0.37775642  0.54960903]
[ 0.51338688]
[ 0.3243254   0.34176338  0.7026292   0.41042276  0.44029966  0.47507172
  0.62643557  0.52087534  0.43887896  0.59699747]
[-0.54216362]
[ 0.46919466  0.54383897  0.43671719  0.53292506  0.56267344  0.61950907
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[-0.10747378]
[ 0.61713885  0.7079799   0.35763926  0.4391019   0.62288544  0.42070373
  0.60460786  0.39222975  0.50630049  0.2717525 ]
Progress: 19.7% ... Training loss: 0.751 ... Validation loss: 1.284[-0.58415429]
[ 0.32077969  0.37701969  0.70760698  0.36133788  0.36849507  0.55075592
  0.6067793   0.58787644  0.57897525  0.61775297]
[ 0.295953]
[ 0.25293274  0.59474713  0.64119351  0.39873827  0.44019603  0.39537507
  0.43050214  0.4561634   0.47779292  0.60228999]
[ 1.45074156]
[ 0.51714897  0.68008905  0.49897441  0.32110228  0.79980189  0.21412919
  0.62678548  0.36751528  0.3662866   0.39547681]
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[ 0.349695    0.49543045  0.7213441   0.42554196  0.44024036  0.43162733
  0.4697104   0.60636113  0.42741806  0.44920896]
[ 1.19349894]
[ 0.56002012  0.59505182  0.44471747  0.41876926  0.53587141  0.39298672
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[ 0.45815691  0.62933952  0.39836557  0.50887872  0.60201368  0.43601364
  0.57703799  0.44979191  0.40342766  0.3973458 ]
[ 0.7924176]
[ 0.28048826  0.43507361  0.66525163  0.47878727  0.26853878  0.58043015
  0.48322936  0.6760276   0.51523901  0.71706701]
[ 0.38581304]
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  0.44345105  0.51033483  0.52891877  0.63992859]
[-0.55059062]
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[ 0.01264505]
[ 0.60816833  0.75722456  0.4631712   0.52362855  0.60338103  0.45960944
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[ 0.17474216]
[ 0.51227182  0.65325614  0.49403427  0.47187971  0.67147194  0.39058202
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  0.39933928  0.70285253  0.6237441   0.61057403]
[ 0.65616488]
[ 0.57537265  0.65611856  0.4949884   0.44372746  0.49614209  0.44347721
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  0.51581765  0.68420617  0.67602857  0.58208081]
[ 1.74494061]
[ 0.67192319  0.68170422  0.3714736   0.46917266  0.58343106  0.4167473
  0.59059958  0.45188703  0.37568808  0.44223831]
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  0.40705578  0.59988232  0.46427155  0.53888031]
[-0.23885391]
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  0.58802997  0.38438041  0.42309547  0.38123821]
[ 0.15843752]
[ 0.62554533  0.63184031  0.3563666   0.48975621  0.59121515  0.48221322
  0.63930145  0.39307317  0.41107393  0.37514058]
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[-0.53686098]
[ 0.55219654  0.66345288  0.38326567  0.40040502  0.66063333  0.37435811
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[ 2.10204555]
[ 0.60380654  0.6739678   0.47833609  0.40814745  0.60513995  0.4432884
  0.5619953   0.44387183  0.33605394  0.31707705]
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[ 0.38013814  0.4228787   0.6908009   0.4463783   0.20586866  0.54600031
  0.56079114  0.69626983  0.60615327  0.66633258]
[ 1.87704275]
[ 0.47589887  0.54353265  0.55278616  0.44998995  0.5287862   0.49086458
  0.51083652  0.53680447  0.4960764   0.42021077]
[-0.24081851]
[ 0.40441762  0.58604287  0.4783663   0.38202149  0.50667278  0.4982089
  0.64383519  0.58802971  0.44821603  0.73124262]
[ 1.18585217]
[ 0.60683463  0.68126064  0.40642727  0.41869593  0.7509389   0.32347978
  0.61294428  0.45184642  0.28328626  0.34304754]
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[ 0.21818173]
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[ 0.58235133]
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[ 2.31757278]
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[ 0.00473387]
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[ 0.84640622]
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[ 0.16064471]
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[ 1.27636849]
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[ 3.9949002]
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[ 0.63671936]
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[ 1.22094609]
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  0.3913612   0.48824289  0.51058465  0.49443258]
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[ 0.01818485]
[ 0.51104474  0.59467491  0.51510128  0.43774236  0.36107348  0.47037498
  0.49113566  0.5802599   0.51346997  0.63822127]
[ 1.32743969]
[ 0.36999152  0.46169065  0.48771386  0.43008232  0.6086013   0.46152231
  0.48216729  0.4744993   0.52163424  0.5290902 ]
[-0.58123892]
[ 0.64602373  0.71456983  0.46744326  0.5120065   0.38829079  0.4614037
  0.56231765  0.55452215  0.33960036  0.47363371]
[ 1.29424866]
[ 0.46559766  0.64896944  0.40537114  0.40185614  0.75032858  0.32231709
  0.67689277  0.2560294   0.33839058  0.37976947]
[-0.23998543]
[ 0.39472003  0.60775766  0.43918166  0.51743244  0.54539427  0.59351598
  0.5625774   0.74459623  0.43996715  0.57140291]
[-0.73477023]
[ 0.32085139  0.43579519  0.65415016  0.36318865  0.40390844  0.38031083
  0.6735332   0.52752692  0.3484261   0.60223638]
Progress: 20.0% ... Training loss: 0.748 ... Validation loss: 1.269[-0.29927097]
[ 0.45011297  0.56168406  0.51111117  0.46900917  0.48786225  0.63108354
  0.42981759  0.35927006  0.44997856  0.48703432]
[-0.47610529]
[ 0.5188629   0.72240815  0.33512889  0.3684386   0.69809987  0.36074365
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[ 0.30776725]
[ 0.49700174  0.71090335  0.43164283  0.4653087   0.44474831  0.59558193
  0.50411614  0.61188248  0.48925017  0.67029963]
[ 1.46107356]
[ 0.38091129  0.50757735  0.52138132  0.41755737  0.55126943  0.54354831
  0.47203675  0.51251652  0.58126607  0.45306175]
[ 0.37507925]
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[ 0.82022494]
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[ 1.39719111]
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[ 0.06792732]
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[ 0.40191313  0.46157277  0.64144495  0.41579434  0.48310527  0.37538824
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[ 0.8517864]
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[ 0.50009841  0.59854216  0.4260971   0.48931599  0.7475334   0.36268103
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[ 0.33080237  0.51517307  0.43670076  0.55629976  0.51487678  0.67316901
  0.47050832  0.5304409   0.50345396  0.63383631]
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[ 0.5494743   0.55391208  0.58133454  0.41492961  0.49858941  0.33378732
  0.48136952  0.54557391  0.4560829   0.49818   ]
[-0.98830743]
[ 0.49501357  0.4804915   0.63496159  0.41740422  0.60785528  0.50923617
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[-0.7464587]
[ 0.3855023   0.54788205  0.66374113  0.42966148  0.46085734  0.51977054
  0.63424135  0.70706378  0.55294858  0.48679764]
Progress: 20.3% ... Training loss: 0.747 ... Validation loss: 1.274[ 0.31358084]
[ 0.64053416  0.73271833  0.40203747  0.47892981  0.58978479  0.47915951
  0.57124257  0.48393119  0.4451473   0.49240566]
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[ 0.50896389  0.53531876  0.5554818   0.46397104  0.54610519  0.51310342
  0.50957042  0.45995049  0.51771215  0.3605748 ]
[ 0.13502826]
[ 0.50208774  0.5602334   0.61897003  0.44857816  0.26033008  0.61941403
  0.4769216   0.60721749  0.53424752  0.72257774]
[-0.65897316]
[ 0.37680094  0.51767302  0.56167408  0.49620196  0.42169502  0.63760562
  0.47447455  0.44035598  0.44697234  0.50297616]
[-1.20482463]
[ 0.56634786  0.66313476  0.59837429  0.36820025  0.53968342  0.36725164
  0.57271964  0.52476519  0.32022714  0.4426701 ]
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[ 0.4196491   0.41650388  0.53681087  0.46031353  0.31155975  0.50985347
  0.54191951  0.50916827  0.5939829   0.64555185]
[ 1.13971041]
[ 0.53540707  0.62393728  0.39871185  0.41289166  0.704436    0.47741484
  0.55139285  0.38933053  0.35454071  0.40573711]
[ 0.55024926]
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  0.5426302   0.63206241  0.5371943   0.55605019]
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[ 0.72441584]
[ 0.57125134  0.60932902  0.53346677  0.41860038  0.37843391  0.44594256
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[ 1.5788561]
[ 0.56039399  0.53713755  0.44891103  0.46249642  0.64656319  0.43169495
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[ 0.76977145]
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[ 0.15634895]
[ 0.5424397   0.62450946  0.43059369  0.47665594  0.57511791  0.42179498
  0.56080771  0.6201049   0.34388507  0.48319567]
[ 1.32301748]
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[ 0.77453001]
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[ 0.87858079]
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[ 0.4260452]
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[ 0.69148891]
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[ 0.28006744]
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[ 0.35599188]
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[ 0.3203911]
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[ 1.26642673]
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[ 0.38328171]
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[ 0.73795173]
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[ 1.4781512]
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[ 0.78854184]
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[ 1.07891514]
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[ 1.26113236]
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[ 0.807835]
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[ 1.18257437]
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[ 0.04536522]
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[ 1.09473128]
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[ 1.47259815]
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[ 0.2612886]
[ 0.5207613   0.50582105  0.51369104  0.40995309  0.58423227  0.39738731
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[ 0.14161103]
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[ 1.97561927]
[ 0.38196408  0.50609889  0.62038429  0.37389302  0.46055992  0.46585917
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[ 0.70582058]
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[ 0.21580868]
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[ 0.10758656]
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[ 0.72283686]
[ 0.51249378  0.66735285  0.51637685  0.53552576  0.54874615  0.58341459
  0.45635273  0.5432578   0.52959509  0.48124357]
[ 0.25233185]
[ 0.42978987  0.67902663  0.54541263  0.31583713  0.61450161  0.21279356
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[-0.56069354]
[ 0.49162699  0.62586849  0.44711391  0.53268945  0.36523171  0.55133288
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[ 0.43099002]
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[ 0.17516257]
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  0.5833115   0.68600941  0.49588628  0.579883  ]
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[ 0.54347594  0.74888728  0.50564215  0.4287127   0.44053755  0.55871562
  0.47652155  0.57737299  0.46234826  0.597315  ]
[ 3.34105491]
[ 0.57898545  0.70725414  0.3717144   0.32319054  0.80599262  0.32365434
  0.65792705  0.44456674  0.33056981  0.36334795]
[ 0.06420365]
[ 0.4738753   0.67077994  0.41991955  0.478387    0.61616672  0.41233575
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[ 0.56264898  0.51847279  0.50015312  0.50959726  0.46476836  0.46892644
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[ 0.18898062]
[ 0.44763623  0.64074652  0.40143276  0.41878426  0.67251168  0.3795343
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[ 0.48857327  0.64221091  0.51918231  0.45362918  0.64665735  0.27295161
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[ 0.69549633  0.66332046  0.41049088  0.42507661  0.62556354  0.27154034
  0.60322693  0.35493907  0.44611096  0.53202062]
[ 0.03329298]
[ 0.5392384   0.6333478   0.53266241  0.47956877  0.2632467   0.50340541
  0.58123899  0.74597568  0.55937897  0.58345511]
[-0.57739849]
[ 0.39031831  0.52525848  0.5079513   0.49209514  0.36537661  0.39232847
  0.54413634  0.62696774  0.64568062  0.54373047]
[-0.26103597]
[ 0.41678597  0.56000076  0.53983089  0.45682718  0.34094825  0.56225879
  0.45553616  0.57309041  0.64563291  0.65809995]
[-0.50766785]
[ 0.30015058  0.38924284  0.61492224  0.51351462  0.38637688  0.55822168
  0.45355888  0.58065933  0.58744372  0.64482596]
[-0.24963444]
[ 0.56901574  0.51442193  0.51767668  0.42435776  0.51989956  0.46325059
  0.59376192  0.52975564  0.51029605  0.41447379]
[-0.70607705]
[ 0.51200208  0.57392197  0.49077498  0.41341698  0.77073251  0.23997516
  0.56290484  0.45215591  0.49046162  0.4013927 ]
Progress: 20.6% ... Training loss: 0.746 ... Validation loss: 1.282[ 2.76887296]
[ 0.51844266  0.65575961  0.47273875  0.33809883  0.67191326  0.41051353
  0.68195685  0.51364799  0.28736242  0.51619602]
[-0.44113727]
[ 0.42637833  0.62794911  0.50943309  0.46163107  0.4703292   0.37330393
  0.49442756  0.53973266  0.45061305  0.61432492]
[ 0.2578008]
[ 0.47107376  0.4680447   0.54861084  0.49085083  0.31860492  0.44668151
  0.44293177  0.44841857  0.57254119  0.66203291]
[-0.80075724]
[ 0.59851475  0.73279068  0.47290689  0.36844199  0.67209907  0.3270054
  0.68023954  0.52618384  0.3474726   0.45135628]
[ 2.07757435]
[ 0.66937771  0.65574453  0.40600624  0.46443161  0.58832574  0.41565744
  0.58466218  0.48652408  0.39292153  0.41718088]
[-0.40289716]
[ 0.38351153  0.3903901   0.55926875  0.55030186  0.33186707  0.70100351
  0.4929677   0.69824619  0.60075407  0.6712102 ]
[-0.86052353]
[ 0.53957773  0.56145312  0.56637942  0.54626462  0.43086152  0.50601145
  0.61776722  0.52293209  0.41612841  0.58703214]
[ 0.96069375]
[ 0.38179969  0.52401815  0.52162854  0.43715443  0.59739334  0.45942724
  0.57771716  0.56120297  0.44851031  0.57971744]
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[ 0.49726214  0.61413165  0.56938044  0.52159228  0.41639179  0.42968897
  0.49456762  0.56195266  0.43088168  0.40531435]
[ 0.99567607]
[ 0.6285835   0.63600113  0.4457493   0.32447231  0.79224132  0.20137419
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[-0.89639386]
[ 0.52148157  0.49405806  0.53278613  0.46797536  0.53811774  0.51713661
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[-0.30744991]
[ 0.31107232  0.55364346  0.6393695   0.45048535  0.33472854  0.53433677
  0.48770628  0.69000268  0.62850895  0.62074479]
[ 2.82427556]
[ 0.48799621  0.50755237  0.60962926  0.53647244  0.46176882  0.42503066
  0.48719938  0.56481948  0.44763125  0.32537393]
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[ 0.58854842  0.52151072  0.56170476  0.47775844  0.41086998  0.46934362
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[ 1.26735374]
[ 0.61408862  0.51181772  0.5015216   0.54305611  0.51138733  0.40332972
  0.6357553   0.44793222  0.45044228  0.42139196]
[ 0.01731884]
[ 0.48711519  0.63959223  0.54919812  0.37762666  0.52395002  0.35538675
  0.61062574  0.37303036  0.34532451  0.46466265]
[ 1.86846947]
[ 0.41458581  0.61930088  0.62877985  0.37466538  0.53726403  0.50436711
  0.42205218  0.49546751  0.46598098  0.54106704]
[-0.64453833]
[ 0.37160953  0.49357903  0.59052284  0.53512712  0.47114211  0.45084984
  0.494166    0.69068585  0.54909929  0.48841525]
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[ 0.39033512  0.7188703   0.6348883   0.51187919  0.34143965  0.57085453
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[ 0.48185696  0.52007522  0.49930894  0.39007441  0.67005379  0.33006074
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[ 0.5555142   0.64913858  0.40946862  0.48660891  0.73272519  0.31344114
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[ 1.67606424]
[ 0.72297922  0.75879761  0.27372664  0.44340825  0.68129703  0.34228406
  0.64326767  0.43348612  0.32935151  0.38564078]
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[ 0.16905919]
[ 0.45163267  0.69137904  0.50817799  0.40321868  0.53321001  0.47682532
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[ 0.10327678]
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[ 3.72251131]
[ 0.49567172  0.6288676   0.58365104  0.29054744  0.61955966  0.38848872
  0.52907532  0.49371565  0.30618036  0.54733892]
[ 1.66076727]
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[ 1.27296173]
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[ 0.63926243]
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[ 0.43503899]
[ 0.4585655   0.69561547  0.4945341   0.35663494  0.61952695  0.42987665
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[ 2.04099622]
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[ 0.98252273]
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[ 0.70040427]
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[ 0.40644117]
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[ 0.39771547]
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[ 0.55040181]
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[ 0.43131006]
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[ 0.00772691]
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[ 0.22702973]
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[ 0.35091653]
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[ 0.92441375]
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[ 2.91545359]
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[ 1.13252319]
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[ 3.05006694]
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[ 1.00512877]
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[ 0.58415948]
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[ 0.14254728]
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[ 1.98885987]
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[ 0.40771513]
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[ 0.08582617]
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[ 0.08521816]
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[ 0.68625791]
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[ 0.32296588]
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[ 3.4573007]
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  0.44735376  0.53730503  0.41004023  0.42301673]
[ 1.63927844]
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[ 1.53028368]
[ 0.46584426  0.641453    0.4524401   0.32641426  0.56672471  0.24478526
  0.55657255  0.45017743  0.35089859  0.58204623]
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[ 0.82650058]
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[ 2.29504781]
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[ 0.29000434]
[ 0.35315539  0.53341697  0.60757951  0.45781486  0.37885094  0.53816455
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[ 0.94860913]
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[ 0.65998806  0.60559089  0.46962251  0.41971346  0.57998967  0.31205248
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[ 0.03878343]
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[ 0.48319318  0.73835307  0.40327482  0.52428061  0.45866292  0.51635788
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[ 0.50893811  0.57008865  0.50188652  0.3947484   0.35883241  0.42277811
  0.51015966  0.44065468  0.48493962  0.68643543]
[-0.92491671]
[ 0.54701478  0.69816864  0.48040659  0.46326852  0.32727861  0.43393571
  0.64790796  0.65054327  0.49215273  0.54056833]
[-0.70710304]
[ 0.63393371  0.75040898  0.28333487  0.49035048  0.74642513  0.45078413
  0.59370957  0.27210057  0.32516422  0.29213406]
[-0.22042993]
[ 0.64729222  0.64232202  0.45958056  0.38166649  0.57540303  0.33721615
  0.50001275  0.49664989  0.50553128  0.56710405]
[ 1.19988217]
[ 0.35647942  0.61530699  0.45971272  0.40716938  0.47999045  0.57514905
  0.41740644  0.64703499  0.52647042  0.65663676]
Progress: 20.9% ... Training loss: 0.743 ... Validation loss: 1.258[ 1.5825178]
[ 0.35357629  0.53419453  0.68191449  0.42892262  0.3462418   0.51635505
  0.50043866  0.63740417  0.58399344  0.43803788]
[ 0.0578379]
[ 0.44596752  0.61498402  0.53498945  0.43274388  0.58863775  0.42503683
  0.59572826  0.43920902  0.41004602  0.38745615]
[ 0.51622601]
[ 0.52060741  0.58777871  0.40396687  0.43541971  0.7170034   0.41133036
  0.54112245  0.38610602  0.4030561   0.38953326]
[-0.33195401]
[ 0.51768121  0.62773446  0.52513284  0.47759959  0.5174372   0.48880405
  0.5899056   0.31342154  0.30797483  0.40571736]
[-0.51713982]
[ 0.42520936  0.66931872  0.65933482  0.29642107  0.58841545  0.45697223
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[ 0.68696577  0.63791539  0.41126011  0.49952746  0.6030856   0.46758019
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  0.3916225   0.56253243  0.62304366  0.66244376]
[ 0.12153788]
[ 0.41397096  0.4502724   0.60042409  0.4630225   0.42946374  0.58192476
  0.56451519  0.7204477   0.56765815  0.68998952]
[ 1.33575487]
[ 0.58429694  0.77784945  0.29675216  0.42321402  0.7186578   0.35133311
  0.65072605  0.49996593  0.31276524  0.39601158]
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[ 0.57244896  0.61008059  0.53167539  0.44538816  0.43668291  0.34901724
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[ 0.42171272  0.6495396   0.5821875   0.43087284  0.4100337   0.43978116
  0.52124975  0.46904282  0.38358418  0.54497444]
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  0.5241796   0.55636704  0.43795856  0.2582484 ]
[-0.32556568]
[ 0.53096159  0.70488972  0.53796284  0.49289194  0.47647475  0.41908525
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  0.50628112  0.61788855  0.36893921  0.42418603]
[ 0.29435163]
[ 0.45718018  0.61669842  0.5495595   0.39955105  0.47900819  0.37414091
  0.62209611  0.47333189  0.45235373  0.36792037]
[ 0.82107198]
[ 0.6126647   0.60974565  0.47332458  0.5273465   0.35449694  0.41390741
  0.61034824  0.63643899  0.39780029  0.6385077 ]
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  0.59665267  0.53826551  0.35601129  0.31457597]
[ 0.37058317]
[ 0.54980909  0.68209233  0.3166225   0.4192723   0.69870735  0.2815801
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[-0.61338581]
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  0.55473141  0.37968108  0.50321296  0.35352026]
[ 1.57184645]
[ 0.57665101  0.61006217  0.4951567   0.52584936  0.50504455  0.38827226
  0.6806994   0.54354898  0.3723893   0.40837534]
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  0.53462883  0.46228511  0.34521684  0.56648544]
[-0.16300848]
[ 0.4709      0.68373613  0.53309603  0.36217657  0.49682817  0.40581959
  0.56627114  0.31513045  0.47753604  0.31825653]
[-0.22902385]
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[ 0.02833285]
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[ 0.09217969]
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[ 1.41212898]
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[ 3.1526346]
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[ 1.26957608]
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[ 0.87907262]
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[ 0.90330219]
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[ 2.89980201]
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[ 1.24548904]
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[ 0.36230525]
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[ 0.69768055]
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[ 0.21720951]
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[ 1.56566351]
[ 0.47637885  0.77578772  0.31918474  0.49314989  0.56432034  0.32679691
  0.68552433  0.60482577  0.31305055  0.45068746]
[ 3.69033173]
[ 0.62114611  0.69730383  0.47419999  0.35430127  0.69793068  0.4071109
  0.63171197  0.44835899  0.27697965  0.40167915]
[ 0.84761315]
[ 0.28158727  0.46680633  0.56820695  0.36897813  0.4372621   0.4770999
  0.52871057  0.49141269  0.53130272  0.5983614 ]
[-0.02024767]
[ 0.55574717  0.53270751  0.58227395  0.40225032  0.4202748   0.30248395
  0.45471255  0.50061142  0.5880758   0.44875504]
Progress: 21.1% ... Training loss: 0.741 ... Validation loss: 1.251[ 0.93350882]
[ 0.5822191   0.57128186  0.42444503  0.37606015  0.65765181  0.22314006
  0.50223588  0.32901841  0.46396558  0.39794573]
[-1.14594413]
[ 0.4764551   0.52386054  0.50184886  0.48274497  0.67369203  0.45436129
  0.59636875  0.33054584  0.42165999  0.27212689]
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  0.70089729  0.55000472  0.33202534  0.62193955]
[ 0.93604211]
[ 0.58151555  0.78663245  0.38752965  0.40715723  0.80140584  0.26055237
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  0.56778359  0.442044    0.35925236  0.3775707 ]
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  0.4943945   0.62807727  0.60817103  0.56307763]
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[ 0.69891089]
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[ 0.73325238]
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[ 0.57897406  0.53089044  0.6548122   0.54241644  0.31541561  0.52011066
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[-0.18532153]
[ 0.52914087  0.65405345  0.38567214  0.46815716  0.54232679  0.54317296
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[ 3.60798822]
[ 0.3792699   0.59699258  0.54062302  0.38594933  0.53726036  0.3917511
  0.52881008  0.53327709  0.40595019  0.45936272]
[-0.05894814]
[ 0.5036059   0.58468547  0.36057912  0.47841976  0.60730254  0.25129749
  0.60862203  0.4183514   0.41875172  0.49554435]
[ 1.25835804]
[ 0.56459357  0.55158695  0.49105516  0.45782302  0.61012213  0.2715744
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[-0.60786226]
[ 0.5180132   0.44075494  0.6588679   0.53207536  0.3547287   0.58336986
  0.47499519  0.61069453  0.57727158  0.57830542]
Progress: 21.4% ... Training loss: 0.739 ... Validation loss: 1.253[-0.95568488]
[ 0.52322962  0.40170415  0.54336601  0.46931144  0.54533764  0.42854853
  0.58873435  0.47235492  0.57971948  0.40799495]
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  0.66159655  0.5329453   0.25163193  0.49496431]
[ 0.73584941]
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[ 0.21855941]
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  0.5804557   0.28907465  0.47641568  0.39278787]
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  0.52276846  0.43484271  0.47191108  0.361937  ]
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  0.66082334  0.39900995  0.26971524  0.44083132]
[ 2.00167048]
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[ 0.7442869]
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[ 0.53461108]
[ 0.60252226  0.58733205  0.34292793  0.54726173  0.70429265  0.31492851
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[-0.39329687]
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[ 0.94475139]
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[ 0.60418761]
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[ 1.17377571]
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[ 1.9503718]
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[ 1.86171759]
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  0.58177722  0.47564906  0.22015786  0.37877087]
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[ 1.68791214]
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[ 0.81209115]
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[ 0.08981526]
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[ 0.19890924]
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[ 0.99200279]
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[ 1.3839059]
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[ 2.15707342]
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[ 2.00612454]
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[ 2.24797541]
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[ 3.23630735]
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[ 0.47567609]
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[ 0.19560294]
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[ 0.44515757]
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[ 0.84765238]
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[ 0.47514622]
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[ 2.31920955]
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[ 0.22776931]
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[ 1.24900286]
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  0.55504167  0.46955155  0.44535617  0.43359546]
[ 1.15720467]
[ 0.37892058  0.54126106  0.63086951  0.30024081  0.6050111   0.45647963
  0.503494    0.51082151  0.4769069   0.66129579]
[ 0.64924932]
[ 0.36220242  0.44991732  0.46778266  0.43177498  0.64242054  0.44590425
  0.55867485  0.53422324  0.48718115  0.43733977]
[ 2.84588761]
[ 0.67843116  0.76156064  0.35959709  0.37876837  0.73675203  0.24957692
  0.68997235  0.4698223   0.29921063  0.27638086]
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  0.593022    0.54648305  0.46876619  0.66418068]
[-0.26772304]
[ 0.39867293  0.54930111  0.57232214  0.48868422  0.45939781  0.4905471
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[ 1.58171252]
[ 0.48135448  0.6553985   0.37804039  0.46717752  0.60406389  0.35689906
  0.60236177  0.43607854  0.34456781  0.52802082]
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[ 0.40281928  0.45800921  0.63557181  0.41877437  0.54459873  0.47858554
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[ 0.2317623]
[ 0.5171456   0.66912406  0.54436189  0.4408285   0.41668825  0.41356885
  0.53287274  0.46653835  0.47328712  0.49097813]
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[ 0.3575952   0.43947492  0.62789851  0.37554393  0.50704428  0.49653588
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[ 0.20866131]
[ 0.38709669  0.43374203  0.54328607  0.47660891  0.3479478   0.55705317
  0.50476343  0.60869525  0.46213917  0.67901783]
[-0.76197675]
[ 0.50653071  0.58842265  0.55619216  0.46919237  0.41949159  0.56421553
  0.46544049  0.50676842  0.51795957  0.60766047]
[ 1.2182151]
[ 0.42269419  0.61759327  0.47282442  0.45307296  0.57738246  0.45876116
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[ 0.96117626]
[ 0.51343782  0.79302089  0.37651179  0.44450272  0.60964117  0.24998252
  0.71933576  0.40602301  0.27525761  0.44999577]
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[-0.22056056]
[ 0.52282274  0.35408268  0.61908763  0.56170195  0.51492151  0.397823
  0.4696759   0.47084508  0.51579244  0.45316007]
[ 1.25087072]
[ 0.35823869  0.59560746  0.58512238  0.39736849  0.48857346  0.44283252
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[ 0.66737677]
[ 0.51259592  0.64261907  0.53255787  0.4503776   0.31020745  0.53773039
  0.45626252  0.57282663  0.5043136   0.73810724]
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[ 0.46679204  0.73974344  0.42766938  0.41511191  0.32441677  0.49909014
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[ 0.65376914]
[ 0.35188553  0.47772821  0.72337495  0.31613124  0.39412302  0.49639482
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[ 0.39226745  0.4236631   0.6874921   0.50046922  0.50707265  0.64072761
  0.50042609  0.58092338  0.56228639  0.57703465]
[ 1.19533322]
[ 0.48361363  0.76432992  0.24114762  0.45354007  0.69822068  0.39784653
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[-0.32705439]
[ 0.33570116  0.45551297  0.62350698  0.56765151  0.53563359  0.57788599
  0.48412115  0.6971949   0.52887715  0.51114274]
[ 1.06631425]
[ 0.4938229   0.6233893   0.40318581  0.46122726  0.53980919  0.36564593
  0.6065385   0.492435    0.36793563  0.43099124]
[ 0.24304451]
[ 0.52977598  0.66228862  0.42468627  0.42040619  0.74643394  0.48725546
  0.54641644  0.52244087  0.48204918  0.33182759]
[-0.92710887]
[ 0.51480899  0.57079972  0.54200437  0.47915628  0.45334713  0.41538653
  0.54873425  0.57079344  0.40712825  0.50766306]
[ 1.43408766]
[ 0.4390102   0.58954578  0.3948657   0.4880129   0.65491176  0.34344275
  0.54672887  0.54567399  0.46596705  0.4172431 ]
[ 0.60307247]
[ 0.62942874  0.55192456  0.49686933  0.50838489  0.55151274  0.35980887
  0.47261292  0.52528243  0.53204518  0.44024538]
[ 0.01157969]
[ 0.24339679  0.34572665  0.71501958  0.40387811  0.30323034  0.57096343
  0.53838281  0.55535748  0.56142167  0.52909392]
[-0.62174156]
[ 0.61799511  0.64903754  0.42227415  0.51875345  0.5488898   0.49603707
  0.59888552  0.31720144  0.3365431   0.40388158]
Progress: 21.7% ... Training loss: 0.737 ... Validation loss: 1.240[-0.52407559]
[ 0.45016497  0.52941591  0.54692047  0.48281667  0.385978    0.43670733
  0.48241783  0.61949091  0.50446166  0.73161686]
[-0.07614637]
[ 0.45110073  0.59711659  0.58765876  0.461889    0.4016078   0.49669713
  0.56019159  0.49301712  0.39325156  0.5402454 ]
[ 0.78264648]
[ 0.34937415  0.51739354  0.54588949  0.54299419  0.3633673   0.56943648
  0.54684212  0.67039149  0.44923446  0.57128403]
[-0.53658808]
[ 0.52397328  0.66438368  0.60581212  0.4506649   0.31356004  0.49276445
  0.42941693  0.48584723  0.43041672  0.61025601]
[ 0.79661058]
[ 0.39394667  0.70198826  0.45929343  0.4298438   0.63603435  0.53994477
  0.41825982  0.53646288  0.40771144  0.59718196]
[ 0.14615592]
[ 0.40935214  0.55903583  0.50767563  0.48177991  0.47194979  0.41985944
  0.5903522   0.66919933  0.62451959  0.44874914]
[ 0.85294306]
[ 0.47952327  0.69226793  0.36658472  0.39570692  0.75708933  0.31536263
  0.68732711  0.23946551  0.3154524   0.38609548]
[-0.77587583]
[ 0.66197529  0.52705004  0.4105149   0.45579507  0.62252376  0.28600827
  0.6702037   0.25320057  0.35801003  0.38510639]
[-0.32904295]
[ 0.34047559  0.4139373   0.68650306  0.65270304  0.21081427  0.65622726
  0.51491014  0.67716239  0.56915302  0.59630142]
[-0.513978]
[ 0.40619997  0.57855903  0.59886357  0.5664747   0.22726506  0.63248176
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[-0.40680117]
[ 0.49347852  0.41748933  0.64234004  0.3568658   0.56972166  0.36494075
  0.53883664  0.42241181  0.40654979  0.48704789]
[-0.24551699]
[ 0.44078437  0.50592051  0.5447738   0.50057293  0.60368734  0.43239654
  0.53539692  0.35598698  0.41037217  0.4316401 ]
[-0.38786668]
[ 0.31256506  0.45630112  0.69453673  0.56031065  0.33397236  0.68543606
  0.4132947   0.64581029  0.53566844  0.55580807]
[ 1.10565329]
[ 0.50651958  0.6478688   0.44853527  0.50072606  0.65319827  0.48837297
  0.50629151  0.58478678  0.54714666  0.49691763]
[ 0.47590448]
[ 0.56704662  0.67251506  0.4563508   0.40077196  0.72767908  0.49388367
  0.57549047  0.52682098  0.5012725   0.47948418]
[-0.20558596]
[ 0.43404058  0.58907583  0.58526957  0.39771936  0.60056636  0.5845746
  0.52266389  0.42276506  0.40481352  0.47740994]
[-0.04440174]
[ 0.49815663  0.62556962  0.50898851  0.42054602  0.38765341  0.44676109
  0.46079784  0.37105173  0.55696574  0.5391305 ]
[-0.56875871]
[ 0.33512084  0.45445361  0.64976299  0.49954237  0.51615698  0.4719488
  0.59093095  0.62053008  0.55413179  0.47481349]
[ 3.53189465]
[ 0.47144861  0.63459645  0.46241081  0.40810357  0.73142729  0.30240283
  0.54895254  0.59448186  0.35097877  0.32355118]
[ 0.843837]
[ 0.30784244  0.46733258  0.69628903  0.60513851  0.2269147   0.56670695
  0.52523116  0.76109916  0.51544036  0.64369423]
[ 0.43679986]
[ 0.49117893  0.58843757  0.4706488   0.45599392  0.56939141  0.41614038
  0.4923489   0.39257183  0.40535331  0.48643378]
[ 1.99389846]
[ 0.57134012  0.66921689  0.40565146  0.4396046   0.64166528  0.42351373
  0.61500951  0.35886668  0.23583453  0.35330076]
[-0.52300152]
[ 0.41313558  0.53177892  0.6265791   0.5238074   0.29015072  0.63148609
  0.49945289  0.65035356  0.48321717  0.59919162]
[-1.08784644]
[ 0.55474571  0.52855637  0.44429848  0.57196705  0.59005503  0.43366031
  0.57427845  0.46147556  0.49035254  0.42900402]
[-0.32127753]
[ 0.41090543  0.43096102  0.75508916  0.46579207  0.15877911  0.64949228
  0.46697189  0.6095548   0.65658999  0.68613366]
[-0.46346276]
[ 0.42285656  0.64416742  0.42182207  0.56073049  0.29366363  0.53634749
  0.62518739  0.6739573   0.52431563  0.52822419]
[-0.2241881]
[ 0.61282468  0.74651396  0.48798601  0.51659686  0.61387634  0.45074388
  0.53892717  0.50033441  0.34765008  0.37339926]
[-0.5059249]
[ 0.35447373  0.45621363  0.77368564  0.44143298  0.28712741  0.56488945
  0.4342482   0.66738994  0.65860123  0.55273833]
[-0.83388271]
[ 0.50131068  0.50106206  0.5630523   0.44555981  0.43360667  0.53526812
  0.48233082  0.51183838  0.55061549  0.55708957]
[ 0.13889923]
[ 0.49747168  0.50582652  0.59515084  0.39759281  0.63312611  0.33458013
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[-0.61015452]
[ 0.41539351  0.46947775  0.56155656  0.46646074  0.3384175   0.43484758
  0.5742854   0.60546229  0.60605436  0.5801496 ]
[ 2.26965775]
[ 0.37018164  0.41196289  0.7420706   0.50284576  0.20445067  0.58875402
  0.55581775  0.67420824  0.58072497  0.52390178]
[-0.36862626]
[ 0.31807548  0.45437216  0.61318712  0.43759439  0.29131082  0.46812353
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[-0.19855197]
[ 0.62108801  0.65074546  0.30997898  0.49185229  0.74849006  0.35614243
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[-0.34198944]
[ 0.47510711  0.63804682  0.65357645  0.49352775  0.41731751  0.61885229
  0.51537511  0.64713116  0.63519721  0.51111438]
[ 1.6418405]
[ 0.52557034  0.67543131  0.39030944  0.29308613  0.70400682  0.18179595
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[-0.60895484]
[ 0.48641699  0.57702447  0.52577146  0.64635049  0.41253739  0.56653452
  0.54272585  0.50537194  0.43285904  0.57916497]
[ 3.2404969]
[ 0.47485025  0.65572911  0.52299695  0.45530563  0.52093509  0.48248078
  0.58087573  0.51324249  0.29950341  0.49722788]
[ 1.45084702]
[ 0.58537933  0.52994347  0.56726911  0.43354344  0.65076685  0.29518003
  0.54069622  0.50997757  0.32299001  0.38916944]
[ 1.25413472]
[ 0.56270953  0.6234004   0.41999518  0.46733381  0.52784561  0.42111483
  0.6639248   0.63043547  0.41900774  0.46933488]
[ 0.00796331]
[ 0.54010589  0.80450088  0.37273872  0.40668969  0.68315079  0.51781638
  0.57139975  0.3872521   0.29106493  0.48943206]
[-0.18397997]
[ 0.52940829  0.64914371  0.42756781  0.50435366  0.48114646  0.47473569
  0.58669733  0.69342181  0.41052243  0.56768825]
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[ 0.40794516  0.58033243  0.40012059  0.42398004  0.65046544  0.53301863
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[-0.31677001]
[ 0.43881652  0.51032517  0.59628057  0.43246769  0.56252566  0.29935671
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[ 0.40656688  0.48674644  0.54296089  0.48096539  0.4981767   0.40149542
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[-0.90803144]
[ 0.53323892  0.4823086   0.55666303  0.47787441  0.47748869  0.30800067
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[ 0.51842526  0.61522943  0.28079757  0.5364878   0.59966975  0.40134342
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[ 0.16303857]
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[ 0.60556876]
[ 0.37356687  0.57004189  0.67416424  0.40775921  0.34731505  0.47791859
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[ 0.14615592]
[ 0.40935214  0.55903583  0.50767563  0.48177991  0.47194979  0.41985944
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[ 0.5930067   0.66646801  0.57054621  0.46277743  0.43482401  0.40575766
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[ 0.79830343]
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[ 0.38672689  0.41128227  0.80200857  0.38743845  0.19905245  0.64684321
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[ 0.49746196]
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[-0.1005373]
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[ 0.60865669]
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[ 3.57775417]
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[ 3.20414873]
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[ 1.97779772]
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[ 0.36337001]
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[ 0.50867154]
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[ 0.49559071]
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[ 1.14278888]
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[ 0.90796787]
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[ 0.16592813]
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[ 1.34996543]
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[ 1.97025638]
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[ 0.03378921]
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[ 0.25977859]
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[ 0.39918427  0.46509249  0.54427467  0.53746829  0.42351927  0.68644352
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[ 0.41411277  0.54793043  0.6969744   0.4645684   0.16177519  0.63283446
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[ 0.89015457]
[ 0.60460433  0.73863265  0.41846302  0.45460257  0.78323978  0.41449242
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[ 0.34444705  0.46393514  0.66516089  0.41596116  0.5000436   0.49430505
  0.60328535  0.60486383  0.49887294  0.57391294]
Progress: 22.0% ... Training loss: 0.735 ... Validation loss: 1.235[ 0.0996056]
[ 0.55679624  0.59872385  0.50596823  0.45747011  0.5222528   0.49929293
  0.54337488  0.45130972  0.57454679  0.29559611]
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[ 0.64939906  0.79579379  0.28058439  0.44782291  0.76991932  0.43461343
  0.65150888  0.34139242  0.28359168  0.387327  ]
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[ 0.536935    0.74135772  0.26682162  0.36275885  0.7978022   0.3440619
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[ 1.90673339]
[ 0.41916251  0.5748897   0.62257335  0.33020811  0.75429471  0.43669321
  0.60744056  0.47933001  0.34954598  0.46820048]
[ 0.12446959]
[ 0.53747851  0.73696917  0.2984953   0.40699433  0.70405314  0.31630872
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[ 0.21117974]
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[ 1.40086514]
[ 0.53040407  0.57147035  0.46622987  0.41455358  0.71124299  0.25132376
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[ 0.12391501]
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[ 0.06336284]
[ 0.49045921  0.46622957  0.47901015  0.52223837  0.55277631  0.42927699
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[ 0.62907944]
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[ 0.0798918]
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[ 0.16983351]
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[ 0.27597457]
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[ 2.52168065]
[ 0.38491156  0.43308645  0.62648211  0.38778526  0.42628286  0.40822772
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[ 2.2417328]
[ 0.49374512  0.74248534  0.37727164  0.40605497  0.66825641  0.35342699
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[ 0.43640332]
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[ 1.40518731]
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[ 0.70894079]
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[ 0.39834722]
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[ 0.3464831   0.4467376   0.55216331  0.66765898  0.30612095  0.59601007
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[ 0.00520472]
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[ 1.23848291]
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[ 0.12671184]
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[ 0.11340665]
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[ 0.65084409]
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[ 0.51399806]
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[ 0.60639028  0.79527993  0.41246059  0.37033328  0.52090321  0.30998768
  0.62374031  0.4956961   0.27323552  0.5270467 ]
[-0.56381634]
[ 0.45033627  0.47201267  0.54104597  0.49762766  0.55985322  0.42094274
  0.465318    0.3786085   0.47891044  0.4660002 ]
[ 0.70201669]
[ 0.6761526   0.71666949  0.43953642  0.45137547  0.68083676  0.35592701
  0.74369834  0.2834293   0.17389136  0.33626429]
[ 1.28931479]
[ 0.32705193  0.51153731  0.6262356   0.52175922  0.36025948  0.57308395
  0.50351712  0.64135328  0.48245005  0.64738325]
[-0.20467792]
[ 0.35890849  0.50022996  0.53049354  0.45284092  0.38188702  0.43626062
  0.68897234  0.68238474  0.40250939  0.59152117]
Progress: 22.3% ... Training loss: 0.734 ... Validation loss: 1.247[ 0.34591436]
[ 0.39522765  0.45911355  0.5136525   0.4876821   0.56837068  0.45224067
  0.46842546  0.43608555  0.5417875   0.42500656]
[ 0.02627976]
[ 0.35593936  0.5450603   0.47058654  0.58393691  0.30760063  0.57183273
  0.57299631  0.64096139  0.51786833  0.55359354]
[ 0.24805195]
[ 0.6780251   0.7621335   0.33397658  0.32202886  0.90719618  0.216615
  0.75217935  0.35611053  0.33354847  0.29191385]
[ 1.38642575]
[ 0.3956674   0.53600463  0.48686927  0.55112725  0.36048548  0.65254949
  0.45752588  0.685425    0.56204462  0.50982299]
[ 0.07789055]
[ 0.46139856  0.63698346  0.43295913  0.46733937  0.36210102  0.53729241
  0.5464941   0.78213208  0.58340542  0.53283821]
[ 2.35597083]
[ 0.3339618   0.49793754  0.61636098  0.53175364  0.40080136  0.56913543
  0.53804738  0.63941791  0.49085061  0.4424013 ]
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[ 2.86727142]
[ 0.61565031  0.8231959   0.27775455  0.42184931  0.76457374  0.22321946
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[ 0.42381397]
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[ 0.04454341]
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  0.51616177  0.57564665  0.37782133  0.55355729]
[ 3.12449267]
[ 0.52297195  0.75282625  0.41046997  0.31172329  0.8003573   0.24011649
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  0.56198825  0.44152184  0.3832523   0.35212603]
[ 3.55320139]
[ 0.65320599  0.65576854  0.53288505  0.36009444  0.63045283  0.31774536
  0.60410421  0.56800266  0.29840217  0.39985003]
[ 1.3532094]
[ 0.50986577  0.61497987  0.4862383   0.41182815  0.61604797  0.38495951
  0.60376511  0.45014281  0.4557414   0.35449942]
[-0.34119126]
[ 0.46329553  0.51199298  0.46160395  0.48685031  0.41402429  0.61261452
  0.53535683  0.62884764  0.50539993  0.65827807]
[-0.99380451]
[ 0.53027482  0.46419971  0.58797309  0.49072363  0.59551608  0.31914237
  0.51345169  0.6358271   0.5135875   0.38791153]
[-0.96006115]
[ 0.42043264  0.55466871  0.57091132  0.44282884  0.58545043  0.39046152
  0.57208718  0.46688248  0.45742929  0.55417316]
Progress: 22.6% ... Training loss: 0.733 ... Validation loss: 1.221[-0.29720082]
[ 0.64430529  0.73324795  0.42258255  0.43915995  0.31045513  0.44093231
  0.52186859  0.49212704  0.38808681  0.61372911]
[-0.42345498]
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  0.53041193  0.58391813  0.46485824  0.57425611]
[-0.96898118]
[ 0.56140321  0.50056201  0.51843605  0.4430889   0.53281187  0.42618497
  0.44385089  0.4185198   0.55891277  0.51731354]
[-0.66766093]
[ 0.46181186  0.42820881  0.59280865  0.47257064  0.41122334  0.58656973
  0.58143704  0.63502753  0.58140553  0.68826057]
[-1.01518382]
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  0.68137144  0.76458841  0.5374873   0.54775724]
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[ 0.77172226]
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  0.55716194  0.42826685  0.3948686   0.45494213]
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  0.6228583   0.75280729  0.53409418  0.69443226]
[ 0.70028059]
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[-1.10784255]
[ 0.55417323  0.62038911  0.43865206  0.47235103  0.57584404  0.48501013
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[ 0.27506077]
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[-0.17388407]
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[-1.14236921]
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[-0.05931588]
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[ 0.16742591]
[ 0.33368345  0.39940041  0.7000637   0.49147349  0.25688594  0.62897973
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[ 0.78628971]
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[-1.00242403]
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[ 1.14907386]
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[ 0.20689124]
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[ 0.59229571]
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[ 1.11294056]
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[ 0.41304651]
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[ 1.35241705]
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[ 0.52551243]
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[ 0.08997125]
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[-0.72354983]
[ 0.47174022  0.51184877  0.62183835  0.46623948  0.37994319  0.42721293
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[ 0.36659976]
[ 0.41727435  0.51425932  0.46091281  0.52677066  0.43996643  0.65328643
  0.4829597   0.57848442  0.4993374   0.62634862]
[ 1.16623014]
[ 0.36645156  0.60400357  0.49320769  0.40038622  0.46700497  0.43238903
  0.56653655  0.65206261  0.42777787  0.54996328]
[-0.39100011]
[ 0.3578408   0.42760631  0.57638462  0.63099404  0.27970332  0.53380437
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[ 0.21409177]
[ 0.40099989  0.50834831  0.40700774  0.45836092  0.62467249  0.58355046
  0.54095733  0.49404418  0.50410335  0.44629721]
[ 0.65111824]
[ 0.62546023  0.71761262  0.34815599  0.54013088  0.5958168   0.47167739
  0.58161482  0.32379736  0.34124917  0.42698621]
[-1.06101962]
[ 0.55534085  0.57648876  0.43420422  0.51874061  0.54981829  0.45297445
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[ 0.68583143]
[ 0.42505657  0.56762717  0.44941609  0.49133959  0.633689    0.4234458
  0.50973214  0.62429991  0.49945851  0.54680513]
[ 0.29431797]
[ 0.36993847  0.51867409  0.50200282  0.47399448  0.39360355  0.50894693
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[-0.40005969]
[ 0.58817412  0.84495153  0.32210418  0.48033717  0.52890494  0.46877497
  0.5006755   0.40700733  0.29063934  0.58740196]
[-0.86516624]
[ 0.42204678  0.57260773  0.49095894  0.5195254   0.48861232  0.52817537
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[-0.62081013]
[ 0.42221302  0.53230211  0.63763689  0.38260149  0.52816254  0.40862621
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[ 1.68870681]
[ 0.4367258   0.40847119  0.49362215  0.38578943  0.69582231  0.26514174
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[ 0.29653204  0.43999093  0.67925203  0.49593184  0.29226099  0.52386633
  0.51485586  0.74203147  0.61902007  0.68453276]
[-0.57878227]
[ 0.36980331  0.46691967  0.52026115  0.55676568  0.45354771  0.68886598
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[ 0.06193814]
[ 0.33356474  0.63243152  0.36964991  0.44809538  0.49005195  0.57264354
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[ 0.30992172  0.51658309  0.67375981  0.46788521  0.38410011  0.68745186
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[ 0.46119539  0.6072378   0.68367818  0.29896766  0.50480256  0.28822486
  0.46257747  0.41676874  0.3307602   0.47154471]
[ 0.47360819]
[ 0.38661433  0.5496929   0.59984903  0.47729022  0.40818953  0.51553244
  0.61659399  0.68441897  0.45429757  0.60261658]
[-1.11763192]
[ 0.42958492  0.66040856  0.56923828  0.52726232  0.65435735  0.39021521
  0.64525644  0.45939165  0.31092691  0.37867504]
[-0.7181947]
[ 0.43991386  0.57486902  0.64141121  0.61889494  0.32156099  0.62377342
  0.44509613  0.58709919  0.42235882  0.53229105]
[-0.56311605]
[ 0.35777294  0.4451554   0.65638507  0.47402167  0.43666906  0.41847312
  0.57897677  0.64948393  0.57354348  0.45829464]
[ 0.61298946]
[ 0.57448335  0.65256995  0.47586536  0.47889334  0.6547261   0.33241168
  0.64906834  0.54672078  0.30042536  0.47348055]
[ 0.67688571]
[ 0.56716629  0.48861615  0.43512432  0.48609415  0.62593828  0.44406497
  0.4890255   0.34028382  0.48513199  0.42901935]
[-0.95541358]
[ 0.52376164  0.55173596  0.51201875  0.5671134   0.53324632  0.40253389
  0.60987017  0.43327062  0.44443793  0.42281221]
[-0.54848308]
[ 0.44699015  0.60499908  0.64149897  0.33207673  0.35374846  0.49775602
  0.57857457  0.65016986  0.67555316  0.55283828]
Progress: 22.9% ... Training loss: 0.730 ... Validation loss: 1.255[-0.45790846]
[ 0.45088044  0.46296387  0.65625528  0.60415383  0.27824121  0.64717934
  0.54676182  0.68540733  0.54591549  0.59440012]
[-0.48509643]
[ 0.38933401  0.46468891  0.71041158  0.37888801  0.30721863  0.60234605
  0.51874955  0.66918818  0.67749456  0.63775223]
[-0.65772887]
[ 0.38416176  0.53082142  0.66195814  0.51713395  0.41830082  0.56230919
  0.44207188  0.62604375  0.53931693  0.50676745]
[-0.29079622]
[ 0.42418593  0.50458813  0.45904744  0.59642466  0.33295741  0.62158038
  0.53922439  0.66153994  0.52922617  0.56609   ]
[-0.46420649]
[ 0.64031734  0.63776896  0.59662707  0.40845005  0.4074001   0.39571128
  0.51622341  0.38887606  0.45060498  0.57208882]
[ 0.05794201]
[ 0.4386386   0.70752394  0.6750077   0.36844355  0.46180633  0.37515486
  0.51340749  0.48018504  0.37340091  0.37149954]
[-0.0528376]
[ 0.45997283  0.7555074   0.40255435  0.47018961  0.55330408  0.46594867
  0.569229    0.52359148  0.42039813  0.41418454]
[-0.60071137]
[ 0.52105578  0.60242977  0.48366597  0.39272567  0.63565272  0.28861965
  0.58320051  0.24891747  0.31728474  0.37300807]
[-0.60529648]
[ 0.51502188  0.50575454  0.51879248  0.45116629  0.51339165  0.26961436
  0.51203985  0.56580341  0.43987446  0.51843914]
[-0.33770161]
[ 0.39806249  0.52968953  0.63509978  0.51090342  0.34368954  0.63288162
  0.44522539  0.61283054  0.5589062   0.55505436]
[-0.92710589]
[ 0.36820397  0.49193324  0.5271332   0.4353788   0.53288427  0.35037551
  0.52421228  0.50918547  0.42508936  0.48360895]
[-0.71863239]
[ 0.38296811  0.61284074  0.46353734  0.40937402  0.65698064  0.40059027
  0.57523415  0.60717399  0.48476245  0.5002224 ]
[-0.06514079]
[ 0.36765437  0.63894945  0.47913437  0.34699301  0.54033492  0.58579338
  0.54313115  0.57278996  0.49047721  0.59689544]
[ 0.24344923]
[ 0.50944498  0.58744271  0.55659096  0.42372432  0.45204609  0.44155622
  0.63620171  0.53867911  0.48111799  0.53644488]
[ 0.85761107]
[ 0.65093921  0.69247156  0.43582715  0.55667725  0.6465939   0.47076898
  0.65402895  0.35224338  0.25241322  0.33801573]
[ 0.35423789]
[ 0.61379898  0.65626502  0.41274395  0.43141231  0.57024646  0.31911845
  0.64890248  0.49692774  0.36012753  0.32966641]
[ 1.68392225]
[ 0.41528796  0.62879946  0.5861863   0.49302129  0.54570769  0.3803822
  0.60285022  0.56961062  0.35297632  0.5190568 ]
[ 0.23071368]
[ 0.4455164   0.73759227  0.29543846  0.57869576  0.2771665   0.55480837
  0.5941027   0.73490376  0.43676201  0.66408657]
[ 0.47234271]
[ 0.49775558  0.60899913  0.41338082  0.48973985  0.52971163  0.38340169
  0.58148944  0.46253503  0.4778433   0.43522444]
[ 1.27933033]
[ 0.56108879  0.69588639  0.42186744  0.34504268  0.67335954  0.34520859
  0.68295928  0.4694762   0.29525507  0.5458985 ]
[ 3.04724915]
[ 0.52132011  0.67786427  0.54678288  0.30822862  0.72701865  0.29201892
  0.6493666   0.61039879  0.28373182  0.36669846]
[-0.49069352]
[ 0.44619074  0.60965812  0.48630395  0.55031962  0.27361873  0.57373308
  0.5428872   0.67567645  0.47494892  0.59140116]
[-0.69883739]
[ 0.42911691  0.60443965  0.64895199  0.43116107  0.31989503  0.51666822
  0.5694926   0.49702313  0.48808189  0.59987392]
[ 1.15488638]
[ 0.44571704  0.4999623   0.65700232  0.57975179  0.37570988  0.56376965
  0.47870985  0.53102208  0.40049671  0.42553988]
[-0.64560204]
[ 0.37096448  0.40981144  0.6159252   0.43155646  0.46517045  0.42985632
  0.56575119  0.61405292  0.59348234  0.51648366]
[-0.55913231]
[ 0.34001813  0.44149713  0.67022003  0.53186036  0.35388947  0.54088133
  0.57980567  0.69392433  0.54095217  0.60517481]
[-0.62668979]
[ 0.66426012  0.72446998  0.28543525  0.41611851  0.7234823   0.39100625
  0.65413553  0.30885514  0.33615065  0.36105012]
[ 0.38204818]
[ 0.55427827  0.62729119  0.44297795  0.4726101   0.6369668   0.31310606
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[-0.25480492]
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[-0.78720539]
[ 0.40421272  0.60351543  0.62596951  0.34979208  0.40278542  0.46660273
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[-0.75439369]
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[-0.89262954]
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[-0.39296879]
[ 0.38286124  0.63622965  0.42852179  0.52803588  0.30407365  0.55720218
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[ 0.66977932]
[ 0.54715172  0.61240062  0.58000764  0.4215093   0.47855269  0.45226434
  0.52194862  0.29702668  0.35077704  0.49595699]
[ 1.91161778]
[ 0.43517206  0.57433218  0.46759791  0.43210916  0.48234     0.43996379
  0.50793339  0.37569304  0.40843159  0.47781121]
[-0.33668676]
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[-0.26674378]
[ 0.28720978  0.4637715   0.6602452   0.59174444  0.29546084  0.70794176
  0.41013081  0.59982763  0.57575858  0.6545576 ]
[ 0.59930197]
[ 0.43377672  0.55340418  0.60156903  0.38934416  0.48119482  0.36582591
  0.42250477  0.40121305  0.53424322  0.42141829]
[-1.08860333]
[ 0.59737484  0.55756767  0.44655245  0.53341201  0.54356427  0.48601605
  0.56849772  0.42083269  0.51475082  0.33798678]
[ 2.08241421]
[ 0.52718621  0.70372557  0.5440217   0.36173125  0.70392708  0.36239433
  0.60706632  0.61268811  0.30848565  0.25560435]
[ 0.31329487]
[ 0.47711053  0.6067196   0.50052084  0.36400229  0.69818342  0.39991488
  0.46646747  0.49669948  0.49968923  0.48763952]
[-1.31707487]
[ 0.57291965  0.66249907  0.4155706   0.46623764  0.67883393  0.3042249
  0.60944046  0.52457801  0.49426054  0.29665609]
[ 0.5915595]
[ 0.42182345  0.41338436  0.65800514  0.46528342  0.43899024  0.55443457
  0.45028816  0.51736978  0.52792568  0.53881335]
[-0.9750971]
[ 0.50277154  0.48222504  0.53443829  0.50189573  0.57912925  0.3342812
  0.5999429   0.48194652  0.46194824  0.51986666]
[ 1.69596187]
[ 0.44530725  0.67733433  0.40114603  0.44200847  0.51995337  0.36526566
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[-1.00618459]
[ 0.49051422  0.6277144   0.40554982  0.48813047  0.57099463  0.39375494
  0.57217135  0.58730071  0.38730255  0.44402969]
[ 2.47789137]
[ 0.49829302  0.59626266  0.48819323  0.40911113  0.65526207  0.46491765
  0.61954127  0.45225642  0.39824208  0.36346773]
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[ 0.57735201  0.59562237  0.58134981  0.54305031  0.47380911  0.4596708
  0.42991193  0.53530983  0.49651577  0.42761983]
[ 1.02492839]
[ 0.55122748  0.61960657  0.59868925  0.36736694  0.41563033  0.40253042
  0.55661631  0.44335694  0.34378227  0.62808062]
[ 1.09732806]
[ 0.3832521   0.53040341  0.65812116  0.43084089  0.30752551  0.67318252
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[-1.03321638]
[ 0.41361254  0.6634441   0.54322798  0.51383846  0.54714846  0.51946612
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[-0.9666223]
[ 0.52919212  0.59867237  0.65369264  0.47245717  0.41126218  0.45060816
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[ 0.16474345]
[ 0.33223053  0.6163273   0.51001155  0.56345251  0.4349112   0.4108872
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[ 1.16951551]
[ 0.53066318  0.81858649  0.27795611  0.45133529  0.7218111   0.31594821
  0.6352377   0.46047726  0.2370295   0.48595767]
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[ 0.75164728]
[ 0.3101866   0.44572708  0.62905269  0.37811042  0.40915212  0.62619474
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[ 0.12323522]
[ 0.58513551  0.54492051  0.54361873  0.50728453  0.30817693  0.47394993
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[-0.3534254]
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[ 0.0864796]
[ 0.5631021   0.60891917  0.51691202  0.41627341  0.6062354   0.37155235
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[ 0.49869752  0.47217461  0.54808824  0.50978098  0.427339    0.56705413
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[ 1.03326948]
[ 0.55437135  0.64545324  0.42488629  0.49385346  0.63841115  0.32131761
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[ 1.03326948]
[ 0.55437135  0.64545324  0.42488629  0.49385346  0.63841115  0.32131761
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[ 0.88407273]
[ 0.48969107  0.66634646  0.47580443  0.30637708  0.66579724  0.30153793
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[-1.18910044]
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[ 1.04177278]
[ 0.34786398  0.32459923  0.53470611  0.4998657   0.41858638  0.55006953
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[ 0.97660005]
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[ 0.84139042]
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[ 0.99287058]
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[ 0.26155732]
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[ 0.39695148]
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[ 0.57850118]
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[ 1.29750848]
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[ 0.27310125]
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[ 1.83156938]
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[ 1.08234924]
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[ 0.87956535]
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[ 0.20063398]
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[ 0.50639146]
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[ 0.05030602]
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[ 0.01475606]
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[ 1.21967904]
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[ 0.22630201]
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[ 0.87571159]
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[ 1.38671916]
[ 0.40351139  0.53863474  0.62527339  0.50324031  0.37053871  0.60413406
  0.3937598   0.60598822  0.58688634  0.50175538]
[ 1.59893584]
[ 0.54066769  0.48174234  0.45522081  0.55304615  0.459579    0.50571794
  0.48347307  0.54690697  0.48136299  0.40831218]
[-0.70305287]
[ 0.37874367  0.51522553  0.62793859  0.40057597  0.49540235  0.56439238
  0.6655586   0.70479972  0.44109577  0.65655441]
[ 2.52407714]
[ 0.62158515  0.59508565  0.57122089  0.38810652  0.46396063  0.38925184
  0.61217198  0.40397958  0.26663253  0.41170447]
[ 0.01875262]
[ 0.3883223   0.53920944  0.71127686  0.37082405  0.22159488  0.47370106
  0.45869402  0.64137733  0.51972596  0.66525236]
[-0.11024906]
[ 0.43671412  0.55382711  0.71671889  0.3162542   0.54787078  0.39037263
  0.50099886  0.4807819   0.39699804  0.56978751]
Progress: 23.1% ... Training loss: 0.729 ... Validation loss: 1.251[-0.79257857]
[ 0.33152078  0.51668409  0.68186883  0.46293934  0.41534015  0.41359107
  0.61103122  0.47907748  0.37601262  0.46487037]
[-0.41937027]
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[ 0.45127359  0.45525619  0.60083303  0.45649436  0.51055598  0.55474687
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[ 0.21535852]
[ 0.37419199  0.55204723  0.71487831  0.37902531  0.37909539  0.59399076
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  0.58608378  0.60778468  0.59063925  0.6709916 ]
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[ 0.58782367]
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[ 0.24038909]
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  0.62701264  0.33673217  0.3972785   0.40448292]
[ 0.86398507]
[ 0.59415942  0.80068485  0.26682939  0.42192668  0.87183283  0.23011903
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[-0.77431747]
[ 0.35936796  0.51732942  0.67253997  0.43196759  0.4610257   0.44312691
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[ 1.54436022]
[ 0.45744514  0.44205283  0.52916808  0.39605415  0.57227288  0.29278012
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[-0.98615108]
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[ 1.12054185]
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[-0.18379442]
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[ 0.14928878]
[ 0.44914843  0.64297648  0.45104529  0.40535866  0.55021624  0.3766417
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[-0.02599486]
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[-0.75752376]
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[ 0.28859367]
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[ 0.17033867]
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[ 1.43066301]
[ 0.54569223  0.50614145  0.47503088  0.52068067  0.56327626  0.43858909
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[-0.32499072]
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[ 0.16279576]
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[ 1.56209872]
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[ 0.0479943]
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[ 0.50170868]
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[ 0.30830948]
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[ 0.20689545]
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[ 0.04214701]
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[ 0.55040854]
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[ 1.05052702]
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[ 0.14618312]
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[ 0.6482146]
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[ 2.24237137]
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[ 0.65197634]
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[ 2.39534603]
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[ 0.10311223]
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[ 0.08319062]
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[ 0.01948067]
[ 0.58856419  0.49891069  0.51666246  0.50842083  0.41060561  0.46862623
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[ 0.9143003]
[ 0.41823229  0.62883425  0.5535617   0.44361333  0.45942732  0.54618703
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[-0.1232593]
[ 0.4478201   0.59309552  0.66195034  0.52884679  0.22898091  0.63682101
  0.41362669  0.58582167  0.57587045  0.64121652]
[ 1.95328297]
[ 0.59554511  0.69671265  0.37665206  0.4038072   0.77732464  0.31472806
  0.58678424  0.34605358  0.38401856  0.33256897]
[-1.12143786]
[ 0.48053032  0.52651346  0.55338401  0.43375138  0.64724726  0.48582204
  0.62767155  0.43337999  0.41629633  0.42208208]
[-0.62354276]
[ 0.54358109  0.70717373  0.41723834  0.54835623  0.5361046   0.60475717
  0.46959668  0.41565872  0.40725827  0.42980364]
Progress: 23.4% ... Training loss: 0.728 ... Validation loss: 1.263[-0.31757635]
[ 0.41663795  0.58971932  0.46977891  0.4517424   0.53919391  0.60330004
  0.52016173  0.57247202  0.5235243   0.6320504 ]
[-0.51847922]
[ 0.54781125  0.61346359  0.5477973   0.41095379  0.56899615  0.51480927
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[ 0.41999448  0.500797    0.51129131  0.51275799  0.37512131  0.66848611
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[ 0.92876949]
[ 0.55446834  0.76184665  0.49716058  0.43069665  0.59997241  0.36632124
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[-0.60943771]
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  0.40102847  0.60385257  0.58925969  0.63105284]
[ 1.39822502]
[ 0.57628282  0.45561792  0.52321426  0.52222182  0.48702515  0.45187064
  0.4986391   0.53793741  0.5478075   0.3048041 ]
[-0.60690767]
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  0.57924724  0.67796083  0.56240598  0.52248176]
[-0.26285771]
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  0.44141552  0.58150062  0.46953647  0.60696652]
[-0.24642833]
[ 0.42607171  0.44603814  0.67606139  0.48479011  0.2268305   0.60817188
  0.4939616   0.535195    0.40595091  0.71561017]
[ 2.07853504]
[ 0.40002189  0.63421352  0.61237263  0.43783536  0.49507781  0.54576564
  0.50875177  0.6341988   0.30615349  0.47033789]
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[ 0.35524754  0.48430798  0.68015343  0.50764049  0.43495982  0.44969248
  0.52433584  0.64092064  0.40215496  0.4191028 ]
[ 0.21123202]
[ 0.56481684  0.70661731  0.39761814  0.35491444  0.71542513  0.36461617
  0.56264464  0.25044211  0.35391608  0.32233548]
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  0.64104657  0.62651589  0.48710018  0.47862943]
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  0.71613505  0.32518728  0.18353322  0.34582465]
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  0.6507897   0.68605969  0.42383521  0.61996525]
[-0.55742497]
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  0.53035857  0.46162553  0.45738129  0.50688141]
[ 0.09769651]
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  0.40728841  0.56175426  0.75131533  0.57483403]
[-0.28610468]
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  0.49585245  0.59485832  0.43775661  0.537796  ]
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[-1.48312213]
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  0.7378279   0.47991897  0.34317389  0.39377266]
[ 0.3897908]
[ 0.55486048  0.62806203  0.442491    0.47193033  0.63802008  0.31268117
  0.51894256  0.53618311  0.39601601  0.43170237]
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[ 1.47059677]
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[ 0.20282718]
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[ 1.23811737]
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[ 0.20351973]
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[ 1.10705538]
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[ 0.2379267]
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[ 2.59682178]
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[ 1.9691692]
[ 0.42499563  0.61048988  0.51550528  0.45287396  0.55660977  0.50719459
  0.56356766  0.49713977  0.39415098  0.5313286 ]
[ 1.92298687]
[ 0.66713748  0.62879991  0.59084446  0.45966851  0.44567198  0.41639706
  0.41930144  0.5509335   0.3976068   0.44558611]
[ 2.30432485]
[ 0.37744979  0.5588743   0.41922774  0.42714122  0.56372199  0.43315945
  0.6142333   0.37905911  0.41319394  0.43653552]
[-0.55169311]
[ 0.3548134   0.49617773  0.62533223  0.44329444  0.45974404  0.62600755
  0.5230445   0.64957748  0.51276486  0.59384582]
[ 0.21455973]
[ 0.57344417  0.69763222  0.43060425  0.47805508  0.60036236  0.36482856
  0.71504176  0.46669734  0.33571052  0.44423633]
[-0.6082141]
[ 0.5362966   0.53420276  0.50772332  0.57141117  0.29836649  0.54926044
  0.5542562   0.62551973  0.5330925   0.65505933]
[-0.09529804]
[ 0.57515818  0.72857254  0.34498739  0.56497247  0.42718702  0.49929179
  0.54254665  0.4462555   0.37136191  0.56147088]
Progress: 23.7% ... Training loss: 0.727 ... Validation loss: 1.258[ 0.03806489]
[ 0.35520355  0.64154218  0.52224671  0.40514127  0.61467343  0.47816591
  0.60350263  0.62043634  0.46263411  0.28212497]
[ 1.15903833]
[ 0.60290397  0.5397889   0.36219461  0.42250647  0.68110533  0.27072371
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[ 0.6962031]
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[ 0.32160725]
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[ 0.00361248]
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[-0.99947181]
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[ 1.363606]
[ 0.58388616  0.65642286  0.36201632  0.49114171  0.60213303  0.45837615
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[ 1.62861067]
[ 0.60162468  0.54432981  0.50370766  0.55410069  0.42007324  0.54847002
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[-0.03633334]
[ 0.56728404  0.60196877  0.48024692  0.31728222  0.77417543  0.32452411
  0.52001206  0.30450475  0.46420588  0.30765042]
[ 0.2553538]
[ 0.46281472  0.59138156  0.57243252  0.54930018  0.3159108   0.63063824
  0.42185741  0.64533705  0.41205366  0.5810142 ]
[-0.27368699]
[ 0.63013107  0.79624196  0.27348092  0.38714025  0.49104083  0.4018416
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[-0.12110738]
[ 0.38700919  0.51110526  0.56198338  0.482459    0.44586826  0.39942184
  0.47440264  0.50268223  0.53652319  0.63319635]
Progress: 24.0% ... Training loss: 0.727 ... Validation loss: 1.274[-0.08157388]
[ 0.43664363  0.55346636  0.71675258  0.31641695  0.54757213  0.39052662
  0.50092148  0.48089113  0.39726198  0.56993132]
[ 0.88639224]
[ 0.57993889  0.63407065  0.34424264  0.48166462  0.61864481  0.34786133
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  0.6589989   0.45554462  0.41541943  0.40428479]
[ 1.2606619]
[ 0.41325172  0.47352226  0.60388912  0.50851579  0.52334558  0.47246937
  0.46111101  0.48585824  0.52070328  0.53296965]
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[ 0.16644987]
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  0.40832738  0.47053258  0.557417    0.48172781]
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[ 0.79857953]
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[-0.68187496]
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[-0.67718004]
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[ 0.83842542]
[ 0.52243147  0.82935613  0.29619607  0.41203935  0.85530267  0.2487744
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[ 1.36698074]
[ 0.44165925  0.50444584  0.74042724  0.27834254  0.47366766  0.47602563
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[ 0.38209528]
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[ 0.00098338]
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[ 2.04918977]
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[ 3.15665524]
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[ 0.75061663]
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[ 0.2783584]
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[ 1.00362125]
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[ 0.80736259]
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[ 0.07414639]
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[ 0.27056187]
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[ 0.77174892]
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[ 0.14531689]
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[ 3.72329095]
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[ 1.8169468]
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[ 0.25017151]
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[ 0.25553013]
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[ 0.38472675]
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[ 0.74339465]
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[ 0.12728896]
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[ 0.79826936]
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[ 0.32347933]
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[ 0.05255136]
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[ 0.01605049]
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[ 0.0859034]
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[ 1.09816744]
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[ 1.57835885]
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[ 3.1577043]
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[ 0.09750084]
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[ 0.22473755]
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[ 0.01345805]
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[ 0.0488049]
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[ 0.82530953]
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[ 0.93917688]
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[ 0.45709943]
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[ 0.40068726]
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[ 1.80816497]
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[ 0.39167582  0.6517054   0.46885955  0.48246715  0.45530077  0.49665306
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[ 0.09087818]
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[ 0.23966714]
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[ 0.85095093]
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[ 0.49812132  0.77537141  0.39253855  0.54182633  0.49507033  0.40869929
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[ 0.9920666]
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[-0.43510635]
[ 0.49683931  0.4790128   0.56871289  0.43741984  0.40070427  0.5265661
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[ 0.49636037  0.50416679  0.57306404  0.54951058  0.53851379  0.5794031
  0.5951741   0.39762038  0.44563488  0.47923661]
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[ 0.30767098  0.43721884  0.60195835  0.53588398  0.34898072  0.64045425
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[-0.61319046]
[ 0.4138691   0.45208244  0.6921151   0.50007243  0.38121495  0.50931778
  0.42788733  0.60218057  0.45185049  0.50070608]
[-0.75836197]
[ 0.49109318  0.43709359  0.51135683  0.54762516  0.52564713  0.66776828
  0.4557418   0.5092941   0.53787472  0.4850591 ]
[ 1.48219613]
[ 0.55489755  0.74008114  0.28984026  0.434571    0.71668365  0.2168153
  0.67068032  0.47610313  0.31876657  0.49307221]
[-0.50494015]
[ 0.57598695  0.68348079  0.43922926  0.45434496  0.63852687  0.30337851
  0.70407423  0.36743603  0.3207088   0.40198054]
[-0.32265501]
[ 0.42064142  0.45785209  0.57573134  0.60709072  0.35127456  0.62819057
  0.50445904  0.58911382  0.47001701  0.59334175]
Progress: 24.3% ... Training loss: 0.725 ... Validation loss: 1.271[-1.0334582]
[ 0.5795037   0.52154765  0.37864568  0.53860999  0.6656173   0.3340505
  0.56472452  0.31017395  0.44078607  0.38119429]
[ 0.22889034]
[ 0.40823459  0.32121527  0.776622    0.45200842  0.17591084  0.62284158
  0.48304088  0.67929716  0.63303857  0.54361762]
[ 0.37661671]
[ 0.41569208  0.58156464  0.65159669  0.45164431  0.26520947  0.5647188
  0.430434    0.73684904  0.6496546   0.59592994]
[ 0.75010402]
[ 0.57631105  0.70598786  0.28332622  0.43925307  0.82149908  0.22481084
  0.67749381  0.28535366  0.30932522  0.33980573]
[-0.23955311]
[ 0.5086566   0.41282065  0.50220632  0.51750301  0.56380371  0.45018575
  0.5148139   0.41743217  0.504841    0.38335788]
[ 1.25082685]
[ 0.48055199  0.64360049  0.41831373  0.39804672  0.70890122  0.33720225
  0.62128283  0.49904018  0.43546083  0.43626151]
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[ 0.39434478  0.72191624  0.5848834   0.34479886  0.61233554  0.40350992
  0.64850056  0.59224122  0.4158362   0.3951827 ]
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  0.6010102   0.67932959  0.4838296   0.51207875]
[ 0.19639336]
[ 0.4447493   0.78524893  0.45854604  0.47749149  0.5463678   0.33594321
  0.57058383  0.47460286  0.28575712  0.38625248]
[ 0.429432]
[ 0.57841038  0.72181984  0.39373926  0.43487217  0.6462188   0.34118525
  0.60834904  0.49444697  0.42664959  0.35926053]
[ 0.18470461]
[ 0.3494319   0.63184789  0.44146651  0.54289719  0.55583728  0.4996148
  0.49278537  0.49569756  0.49956936  0.5379891 ]
[ 1.92465873]
[ 0.61498226  0.75407883  0.32219693  0.48223401  0.60464449  0.33273885
  0.6172458   0.57706413  0.33351913  0.44370245]
[-0.66177738]
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  0.66449211  0.70590549  0.44381827  0.65866257]
[-0.71733241]
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[-0.83287838]
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[ 0.71882249]
[ 0.52614141  0.50085357  0.56292515  0.41809521  0.61022898  0.53164993
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[ 0.20551914]
[ 0.33595286  0.46452842  0.61633422  0.48394635  0.53407113  0.45910736
  0.49878469  0.46935825  0.47256414  0.52738218]
[-0.14326624]
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  0.62565503  0.31382998  0.42609871  0.39838887]
[ 0.84532891]
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[ 1.6813775]
[ 0.48587237  0.64158927  0.42896982  0.40397987  0.70814713  0.25344688
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[-0.16425807]
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[-0.32075099]
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[-0.07337655]
[ 0.44849323  0.547159    0.40736369  0.45400745  0.36634757  0.47801278
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[-0.92532275]
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[ 0.1966455]
[ 0.51491792  0.66081908  0.37049276  0.39184737  0.7154841   0.29243293
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[ 1.16225058]
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[ 0.6379792]
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[ 0.72299322]
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[ 0.98921332]
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[ 0.87544489]
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[ 0.06909586]
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[ 0.62176316]
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[ 1.68874654]
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[ 0.84390688]
[ 0.53450436  0.6066652   0.45073716  0.45466236  0.65662907  0.41344152
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[ 0.23191897]
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[ 3.24049672]
[ 0.49436125  0.71991431  0.46171397  0.31938025  0.76821918  0.27026912
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[ 0.20530115]
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[ 0.52444741]
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[ 0.52075454]
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[ 0.03522949]
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[ 0.30165338]
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[ 0.56789111]
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[ 0.18063541]
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[ 0.20496817]
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[ 0.07422321]
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[ 0.58968091]
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[ 0.88560996]
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[ 0.23331384]
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[ 0.19714805]
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[ 0.2411193]
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[ 0.11841921]
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[ 0.67635094]
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[ 2.07175468]
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[ 0.37530027]
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[ 0.23409771]
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[ 0.17677988]
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[ 1.11781663]
[ 0.49484976  0.68476674  0.42183986  0.38905448  0.73047628  0.35311814
  0.66092514  0.47775435  0.28921235  0.42420655]
[-0.66515895]
[ 0.38750434  0.58091844  0.56930788  0.6204085   0.34039895  0.48895144
  0.5535815   0.72557334  0.50583553  0.47894654]
[ 1.40074029]
[ 0.64672241  0.84510127  0.24029474  0.35181203  0.80003451  0.24290371
  0.76278357  0.53959354  0.27163441  0.43892991]
[-0.1380119]
[ 0.38748517  0.54138135  0.60888481  0.47708844  0.45254897  0.60439957
  0.34556415  0.45436087  0.47295352  0.56869519]
Progress: 24.6% ... Training loss: 0.722 ... Validation loss: 1.253[-1.00321029]
[ 0.48252434  0.59073909  0.43644278  0.54925004  0.57927061  0.47153548
  0.56331347  0.50840114  0.42778617  0.50146736]
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[ 0.4813345   0.59723652  0.69160647  0.4658366   0.32990003  0.45175614
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[-1.28267823]
[ 0.71051828  0.67013286  0.42031823  0.42744862  0.59577414  0.41212742
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[ 2.56756331]
[ 0.38393803  0.43104855  0.62723616  0.38906022  0.42427061  0.4091876
  0.64912005  0.5326812   0.39780427  0.50828176]
[ 2.39784208]
[ 0.4545165   0.61434004  0.51804262  0.36671157  0.49707107  0.51686823
  0.42124833  0.53549122  0.56679629  0.53823041]
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  0.41906318  0.4352729   0.51077632  0.58906203]
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[-1.09953734]
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  0.65235724  0.51814573  0.37257308  0.4696497 ]
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[ 0.79241231]
[ 0.5038679   0.62210137  0.44214868  0.42931906  0.62640485  0.30133382
  0.539563    0.37071607  0.43829054  0.3270198 ]
[ 0.71639307]
[ 0.61279368  0.49835119  0.41831758  0.54831765  0.63030559  0.34713118
  0.5154875   0.48989014  0.54582755  0.38887489]
[ 1.37047501]
[ 0.64826003  0.84643156  0.23927268  0.34993836  0.8021303   0.24187678
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[-1.00304332]
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  0.66291802  0.471123    0.32279101  0.49301219]
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[ 0.88468014]
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  0.60640754  0.59030956  0.27370585  0.44720143]
[ 2.13050471]
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  0.56309146  0.59891848  0.32075278  0.29683902]
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  0.45385607  0.47804798  0.48383625  0.45209582]
[-0.19979346]
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  0.61443592  0.67347734  0.56862706  0.56564743]
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  0.59256913  0.69474475  0.49910632  0.5176044 ]
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[ 0.33722572]
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  0.58066691  0.4823646   0.47161506  0.36872188]
[ 2.0009875]
[ 0.53400008  0.62014657  0.56812508  0.37724772  0.46001253  0.54432756
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  0.62185063  0.56889091  0.50584301  0.53850523]
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[ 1.6027438]
[ 0.42764287  0.57794302  0.3788954   0.40626073  0.61516761  0.30305499
  0.66592981  0.36803787  0.33545444  0.47620181]
[ 0.6184009]
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[ 0.4823699]
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[ 0.23279184]
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[ 1.00580749]
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[ 0.2000872]
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[ 2.34040666]
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[ 0.73683315]
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[ 0.6752999]
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[ 0.93537657]
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[ 1.53905543]
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[ 2.14593509]
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[ 0.13994023]
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[ 0.01001117]
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[ 1.61142879]
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[ 1.61105903]
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[ 1.93848959]
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[ 0.04514403]
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[ 0.07224566]
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[ 0.16905918]
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[ 1.36557168]
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[ 0.34343229  0.47336624  0.54394935  0.47619608  0.41703258  0.43470741
  0.57212694  0.66150249  0.5131081   0.47632217]
[ 0.58881524]
[ 0.41785012  0.56231524  0.52491824  0.27657525  0.61552243  0.26624119
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[-0.49474013]
[ 0.428846    0.51378215  0.59303527  0.5803237   0.45503381  0.5243615
  0.49530403  0.59545161  0.4390662   0.53879791]
[ 0.6504629]
[ 0.53006989  0.65056993  0.37397422  0.4953273   0.7129992   0.35155606
  0.63519827  0.43000967  0.37935833  0.46691786]
[-0.67620837]
[ 0.4223106   0.75906886  0.53572703  0.47761138  0.29546691  0.53328549
  0.51154129  0.6935523   0.43730133  0.53976668]
[-0.30623467]
[ 0.48065144  0.49384936  0.46535791  0.53208453  0.48661933  0.52224584
  0.60094233  0.67940591  0.48405059  0.51224339]
Progress: 24.9% ... Training loss: 0.720 ... Validation loss: 1.237[-0.69285267]
[ 0.41732542  0.54277486  0.41574076  0.55293816  0.48568813  0.50739943
  0.59038535  0.66129778  0.52801273  0.51143254]
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[ 0.38916458  0.48971297  0.61413887  0.47036407  0.51112741  0.50035392
  0.4847769   0.44075258  0.49905623  0.5189206 ]
[ 1.00086701]
[ 0.45286434  0.76039115  0.40124897  0.35635363  0.77045822  0.24639397
  0.73491068  0.42319553  0.30322543  0.4235183 ]
[ 0.23744868]
[ 0.34995764  0.40502949  0.65038586  0.36930287  0.4490369   0.47630065
  0.62549111  0.57581565  0.49985457  0.54043487]
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[ 0.31923719  0.40755918  0.754363    0.39278857  0.26340302  0.55472146
  0.58630356  0.69760621  0.50955369  0.7108134 ]
[ 1.0387508]
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  0.6651499   0.3752258   0.34637208  0.40709151]
[-0.90604383]
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  0.55259741  0.47115207  0.46265592  0.44450364]
[ 0.33343754]
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[-0.74546596]
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[ 0.63368494  0.61415634  0.50989351  0.4731575   0.53372494  0.34732283
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[ 3.07812757]
[ 0.6003336   0.78010661  0.29718075  0.35744881  0.74806499  0.33463343
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[ 2.27295714]
[ 0.48529465  0.75963723  0.40265237  0.40991382  0.74302336  0.26915837
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[-0.19992691]
[ 0.3223598   0.47892762  0.5010252   0.54444281  0.38790647  0.61148311
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[-0.70772212]
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[-1.06213245]
[ 0.56207356  0.47761587  0.55403875  0.42541963  0.63849504  0.43601606
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[ 1.54539339]
[ 0.58057048  0.61609732  0.49174847  0.52092316  0.51283687  0.38514738
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[ 0.36088448  0.4749762   0.67937578  0.43403448  0.24945822  0.68523826
  0.36662615  0.6223669   0.5947859   0.68407254]
[ 0.15503565]
[ 0.49166158  0.6150785   0.50987853  0.36057508  0.49789161  0.38173226
  0.63566074  0.39257439  0.34399734  0.51068703]
[ 0.93481727]
[ 0.62550483  0.58772672  0.35522238  0.45945598  0.78770436  0.27591628
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[ 0.9032997]
[ 0.5578405   0.64967735  0.32045949  0.42352516  0.73480499  0.28534405
  0.62780062  0.22657929  0.30964886  0.33717585]
Progress: 25.1% ... Training loss: 0.718 ... Validation loss: 1.234[-0.44491748]
[ 0.49112177  0.65518378  0.48475382  0.55476958  0.30014155  0.59769936
  0.50581794  0.6663784   0.60002483  0.52271374]
[-0.96744114]
[ 0.66681103  0.7246      0.27846742  0.54117033  0.69977729  0.43918008
  0.5678323   0.3325609   0.42797024  0.31404084]
[-0.53433327]
[ 0.47012181  0.50308348  0.59312747  0.63721261  0.31137762  0.56805529
  0.44356771  0.58079088  0.51628871  0.59261072]
[-0.52360973]
[ 0.40055607  0.47098297  0.63970098  0.55807125  0.31890644  0.58104689
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[-0.86029578]
[ 0.42259541  0.49606631  0.69544879  0.45498046  0.45654909  0.51770486
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[ 1.42186675]
[ 0.70753757  0.73692064  0.34100164  0.40656257  0.72126565  0.37696479
  0.69379487  0.3436515   0.24556044  0.38925944]
[ 0.23494482]
[ 0.50864466  0.58562578  0.55723233  0.4248054   0.45005648  0.44244157
  0.63562405  0.53933855  0.48266228  0.53751362]
[-0.24689688]
[ 0.68884397  0.58236161  0.53615724  0.36824976  0.43091763  0.29650812
  0.5898717   0.51479555  0.41364427  0.55510029]
[ 0.15717174]
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  0.44616577  0.28016278  0.42132516  0.49340319]
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[ 0.45808722  0.62134783  0.53965987  0.55891022  0.42166081  0.4466408
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[ 0.11012177]
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[-1.04881635]
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[ 0.79479765]
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[ 1.85581972]
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[ 0.79456612]
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[ 0.00016563]
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[ 0.07994563]
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[ 0.92529401]
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[ 0.81515824]
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[ 0.43584104]
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[ 0.00129397]
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[ 1.46765107]
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[ 0.41051791]
[ 0.5006609   0.61924901  0.50977212  0.38655775  0.61177196  0.40360153
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[ 2.10722084]
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[ 0.34545211]
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[ 0.03992002]
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[ 0.16551744]
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[ 0.43348995]
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[ 0.51053904]
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[ 1.25455558]
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[ 0.17609711]
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[ 0.55316347]
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[ 0.09361542]
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[ 2.02456005]
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[ 1.48573472]
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[ 0.31769603]
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[ 0.66631011]
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[ 2.06353661]
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[ 1.86647539]
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[ 0.89965562]
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[ 2.66269987]
[ 0.52986473  0.67262     0.46317694  0.32572528  0.69270172  0.40093376
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[ 0.45997339]
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[ 2.9264597]
[ 0.41850193  0.60287144  0.64139521  0.41164437  0.53088091  0.43632606
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[ 0.62737193]
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[ 0.92958702]
[ 0.43097775  0.60955996  0.43074139  0.35363743  0.66588587  0.36223055
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[ 0.76046599]
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[ 0.50923154  0.54127556  0.66695798  0.4707927   0.52104503  0.41629659
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[ 1.62790259]
[ 0.51014509  0.74662171  0.35016461  0.32996011  0.63766129  0.32483932
  0.66905909  0.57163516  0.44807495  0.35058417]
[-0.80770406]
[ 0.35829973  0.50413723  0.54330106  0.48548312  0.53985121  0.55817041
  0.43969168  0.54098645  0.5058545   0.50684635]
[-1.04146727]
[ 0.58154236  0.53715429  0.4658751   0.53926921  0.52047667  0.50794504
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[ 0.45547982  0.65592806  0.50392611  0.37426471  0.60641176  0.44351577
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[ 0.71030811]
[ 0.53029247  0.7390217   0.42026452  0.40033712  0.54629603  0.40081385
  0.63459774  0.55676221  0.32086009  0.58324625]
Progress: 25.4% ... Training loss: 0.717 ... Validation loss: 1.241[-0.25564806]
[ 0.47467068  0.60718025  0.52851981  0.54516559  0.31647825  0.63115901
  0.43669996  0.62127485  0.42957603  0.54047421]
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[ 0.02860259]
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  0.56412198  0.53229041  0.48068587  0.5333238 ]
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[ 0.55053595  0.606472    0.53950764  0.56822472  0.42006476  0.53761574
  0.415582    0.56736069  0.47064062  0.43716867]
[ 0.95298753]
[ 0.5977431   0.69470642  0.34865446  0.407531    0.8104464   0.26209813
  0.65331321  0.24151062  0.31638481  0.29419622]
[ 0.32019788]
[ 0.62595967  0.57170595  0.33335965  0.5051697   0.68120453  0.26650485
  0.61887915  0.38296625  0.51642046  0.40478377]
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[ 0.45685363]
[ 0.49557411  0.60440606  0.59335906  0.4316743   0.50726495  0.5604965
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[-1.26274926]
[ 0.57223239  0.61059213  0.32790773  0.32401126  0.75542949  0.27551782
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[ 0.21377373]
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[ 1.87237146]
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  0.61821417  0.63678216  0.26181741  0.41271848]
[-0.16063319]
[ 0.34537807  0.61754824  0.59628192  0.48375046  0.46035174  0.54536004
  0.5227798   0.62670087  0.51891032  0.57900087]
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[ 0.817891]
[ 0.46428979  0.69448589  0.49827918  0.34015084  0.48546886  0.51955982
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[ 0.49338907  0.48147059  0.56368167  0.4173615   0.48395171  0.55698854
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[ 2.62177714]
[ 0.29316705  0.4271599   0.67111964  0.54874917  0.34793344  0.62492237
  0.50260632  0.58071373  0.50322053  0.50877185]
[ 2.02715503]
[ 0.51276803  0.71058606  0.36912461  0.41770187  0.80458053  0.29831958
  0.58912313  0.52388561  0.37500635  0.36245995]
[ 1.77533939]
[ 0.2886922   0.28833431  0.70024876  0.43863906  0.40467946  0.46589582
  0.67375374  0.54355295  0.46647964  0.51055762]
[-0.5450247]
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[ 2.1719364]
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  0.66712382  0.45472419  0.29277125  0.38044124]
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[ 0.30590243]
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[ 0.29734949]
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[ 2.42888565]
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[ 0.45578694]
[ 0.57518844  0.7195429   0.21661596  0.47117124  0.76832185  0.4006813
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[ 0.05355255]
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[ 0.31849205]
[ 0.34865315  0.52481505  0.61139736  0.4639449   0.36881086  0.54262321
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[ 1.07660571]
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[ 1.28092578]
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[ 0.00255167]
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[ 0.98582872]
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[ 0.86533111]
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[ 1.8036483]
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[ 1.05611706]
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[ 0.81298777]
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[ 1.04744841]
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[ 1.62325486]
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[ 0.15032118]
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[ 0.06745579]
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[ 0.20632662]
[ 0.33923271  0.5311131   0.58023308  0.41467175  0.46737234  0.43426002
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[ 3.02005348]
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[ 2.39735839]
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[ 0.69234766]
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[ 0.60506266]
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[ 0.01929374]
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[ 0.20952805]
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[ 0.68664057]
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[ 0.672293]
[ 0.43768074  0.56546457  0.60668451  0.40276507  0.5206411   0.5063067
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[ 2.6971244]
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  0.53092763  0.39453548  0.40928813  0.32962056]
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[ 0.23198503]
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[ 1.00663959]
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[ 0.88383063]
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[ 0.07427988]
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[ 0.43635692]
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[ 1.25989351]
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  0.54847847  0.63082858  0.45344461  0.53236538]
[ 0.59974524]
[ 0.6315478   0.55514827  0.49487921  0.5055773   0.55577773  0.35816336
  0.4741741   0.52321532  0.5292409   0.43728056]
[ 1.4919815]
[ 0.35261075  0.46582826  0.65542827  0.3886543   0.48171825  0.60138926
  0.47131511  0.62998697  0.54387829  0.56180899]
[-0.8535889]
[ 0.51926749  0.71873422  0.40634137  0.5078296   0.54320898  0.50588977
  0.64851655  0.69446928  0.40495347  0.53040088]
[ 1.04647901]
[ 0.57256439  0.48517875  0.50642939  0.50854838  0.4695712   0.53046372
  0.44032648  0.52346677  0.47623441  0.53071334]
[-0.40662596]
[ 0.43383112  0.67681644  0.42980463  0.44588002  0.51896445  0.48981737
  0.55853092  0.57167134  0.33387833  0.47734634]
[-0.66554306]
[ 0.45808802  0.54937021  0.57448645  0.42227571  0.4782208   0.54458552
  0.58462912  0.63850951  0.54721575  0.63913375]
Progress: 25.7% ... Training loss: 0.715 ... Validation loss: 1.231[-0.67767237]
[ 0.42500459  0.5817239   0.58062049  0.48355582  0.3603989   0.62398901
  0.44831467  0.54274073  0.47465095  0.66046801]
[ 1.18167911]
[ 0.48441172  0.66223541  0.53014207  0.38456476  0.47059089  0.30685032
  0.58471997  0.39989734  0.36109203  0.5469036 ]
[ 0.24860354]
[ 0.45299995  0.56475636  0.43467178  0.42040213  0.70107639  0.37182842
  0.57384798  0.4650378   0.44941183  0.48083947]
[-0.48822007]
[ 0.39297712  0.65337803  0.46773196  0.48087655  0.45773098  0.49564261
  0.61694817  0.60853035  0.43358027  0.41216406]
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  0.55526044  0.57022966  0.50790833  0.54705459]
[ 1.62711707]
[ 0.56041906  0.74519939  0.33781207  0.40642104  0.77415119  0.34198693
  0.55658666  0.32824341  0.28493865  0.35837759]
[ 0.46491573]
[ 0.3543363   0.54424485  0.39945207  0.45864715  0.60363637  0.60512694
  0.54682258  0.57806796  0.45570798  0.4514462 ]
[ 0.25351469]
[ 0.44171114  0.67501337  0.37434519  0.53300208  0.4111905   0.66780281
  0.50095025  0.5898634   0.4218475   0.66989351]
[-0.40829763]
[ 0.38860717  0.47016717  0.69390597  0.43667549  0.39788614  0.61201919
  0.40507853  0.61919434  0.55997146  0.46565787]
[ 2.62140301]
[ 0.47408766  0.53919464  0.54011477  0.40933042  0.64703568  0.48930694
  0.60147028  0.4249028   0.40806338  0.37648151]
[ 0.43536063]
[ 0.40659197  0.50878083  0.56480995  0.42283218  0.42753906  0.33539249
  0.55985937  0.62167512  0.58963115  0.54213676]
[ 0.58659152]
[ 0.34330036  0.52873502  0.4762837   0.43190032  0.60805021  0.27842123
  0.51448491  0.44331603  0.42866774  0.47092152]
[ 0.31311816]
[ 0.44117944  0.43027259  0.75119128  0.48305465  0.16810629  0.66400654
  0.4085212   0.61538128  0.65529268  0.72529956]
[-0.39082371]
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  0.57088998  0.55931526  0.41480568  0.62033563]
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[ 0.49092244  0.56125276  0.37988848  0.4956173   0.41013669  0.46286615
  0.55254794  0.54887054  0.51894419  0.63648937]
[-0.3246338]
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  0.58685196  0.68306712  0.55900422  0.61427318]
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[-0.77198941]
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  0.4662621   0.54469618  0.34848114  0.44686855]
[ 0.68308715]
[ 0.4740727   0.46696445  0.64142489  0.39858657  0.42261802  0.4790479
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[-0.35698268]
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[ 0.4922045]
[ 0.30488586  0.22968465  0.72316117  0.58254078  0.19504981  0.60739762
  0.54731907  0.66777899  0.65347932  0.4799656 ]
[ 0.63360613]
[ 0.55597783  0.75523755  0.38929157  0.45755591  0.68574813  0.3749692
  0.69196582  0.40126227  0.23704769  0.46424809]
[ 0.00049645]
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[-0.69200836]
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[ 0.35356804]
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[ 0.44961865]
[ 0.41917359  0.56668665  0.67427495  0.48895129  0.42659364  0.53350646
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[ 0.04015358]
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[ 0.34705095  0.5749362   0.69311665  0.53705698  0.42217903  0.56586011
  0.4652632   0.6250258   0.46495621  0.49194316]
[ 0.4153839]
[ 0.42553809  0.5673339   0.59932286  0.36072343  0.54980589  0.33099126
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[ 0.35417723]
[ 0.35406786  0.53462393  0.57450537  0.56972913  0.54967133  0.57040523
  0.50544724  0.4315775   0.50769673  0.51393663]
[ 1.54311993]
[ 0.41692511  0.5707367   0.54369631  0.41759765  0.60524019  0.38322543
  0.56664508  0.35124891  0.40245802  0.47760201]
[-0.20294627]
[ 0.41478454  0.57208852  0.62679625  0.36878073  0.5271      0.59317728
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[ 0.2168217]
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[ 1.85662855]
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[ 0.0722824]
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[ 0.90421183]
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[ 0.73117577]
[ 0.46450535  0.53488885  0.616357    0.41807526  0.41322309  0.57184123
  0.45131454  0.5422717   0.51677174  0.68851278]
[ 1.12376416]
[ 0.26843149  0.34468914  0.75960972  0.49862297  0.20796578  0.57557377
  0.51817269  0.63767256  0.60454754  0.48539448]
[ 0.30110312]
[ 0.50071571  0.57935835  0.40946623  0.51109321  0.61044492  0.43128277
  0.57168341  0.27026642  0.47031663  0.33444022]
[ 2.62080584]
[ 0.61054879  0.62002549  0.4932592   0.3614711   0.68325774  0.33937407
  0.69344354  0.4460779   0.24428564  0.40409876]
Progress: 26.0% ... Training loss: 0.714 ... Validation loss: 1.227[ 0.00378742]
[ 0.51685225  0.67296109  0.39563071  0.57433439  0.29381691  0.56985064
  0.59945881  0.69258336  0.36011815  0.61107807]
[ 1.46392454]
[ 0.40345074  0.51304466  0.48025053  0.53479698  0.42663613  0.62932957
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[ 0.35172062]
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[ 2.57288871]
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[ 0.29533006]
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[ 0.02620494]
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[ 1.25622652]
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[ 2.75503852]
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[ 0.56730748  0.64909677  0.48819102  0.4846875   0.52669434  0.38538765
  0.51504705  0.52687444  0.49528492  0.57140704]
[-0.19563475]
[ 0.2866623   0.60211016  0.63329143  0.5440222   0.33450615  0.55613104
  0.57602045  0.5866284   0.54647044  0.53634976]
[-0.37925369]
[ 0.61215687  0.57168456  0.62924337  0.49838187  0.32533604  0.57109095
  0.46604407  0.4643158   0.46058235  0.51045037]
[-0.34570272]
[ 0.42995001  0.49759589  0.74216209  0.5222021   0.26924449  0.62053619
  0.47866212  0.61394892  0.52837342  0.58219209]
[ 0.20053143]
[ 0.36972769  0.38713794  0.64315503  0.46639593  0.36792278  0.42737657
  0.52964198  0.63254513  0.67516699  0.47345493]
[-0.44789034]
[ 0.45861309  0.57844388  0.5376483   0.44509135  0.61769051  0.42298338
  0.44249408  0.46154734  0.50913924  0.46091841]
Progress: 26.3% ... Training loss: 0.713 ... Validation loss: 1.228[ 0.02235331]
[ 0.55780113  0.60078606  0.534318    0.38283027  0.43060231  0.30083364
  0.72066018  0.51520406  0.28452625  0.58848924]
[ 2.77690931]
[ 0.47211044  0.56315789  0.41663276  0.39754724  0.70532457  0.22607904
  0.54856737  0.47097648  0.39891869  0.44613585]
[-0.7355701]
[ 0.42559865  0.48517284  0.60423179  0.48605744  0.40372181  0.56674986
  0.58541115  0.58663617  0.46857002  0.59020135]
[ 1.26388368]
[ 0.5603868   0.6767304   0.30562459  0.44061981  0.65723324  0.29906484
  0.55110963  0.47208214  0.47039406  0.5278299 ]
[-0.15215326]
[ 0.54508907  0.65225664  0.40322903  0.46372031  0.59090179  0.48253967
  0.54139242  0.37086095  0.49326284  0.31482127]
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[ 0.31103499  0.45508798  0.66183929  0.37479328  0.34052601  0.54594086
  0.5400359   0.53910147  0.57233082  0.44912567]
[ 1.44492577]
[ 0.51226672  0.58603569  0.54477282  0.42648459  0.55010116  0.52732864
  0.51151884  0.63106314  0.4065156   0.40063154]
[ 1.01183716]
[ 0.39793897  0.57177528  0.48937997  0.42243583  0.62712749  0.53272401
  0.47545707  0.48135721  0.41276555  0.50064941]
[ 0.77218053]
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[-0.97201832]
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[ 0.57564504]
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[ 0.6677128]
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[ 2.43742004]
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[ 0.15896474]
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  0.60448315  0.68465211  0.40551656  0.50487149]
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  0.59183273  0.50216658  0.4135236   0.6027832 ]
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[ 0.62095689]
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[ 0.066792]
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[ 2.21356929]
[ 0.48000439  0.595547    0.44535727  0.43795458  0.56586161  0.38427751
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[ 1.69500367]
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[ 1.65114525]
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[ 0.6399493]
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[ 2.2502867]
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[ 0.15961102]
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[ 2.11454698]
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[ 0.12744381]
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[ 0.15395381]
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[ 1.02052642]
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[ 0.35319084]
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[ 1.46815937]
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[ 0.2993944]
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[ 0.70402385]
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[ 0.26850952]
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[ 0.21088752]
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[ 1.11684651]
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[ 0.04805514]
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[ 0.18551681]
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[ 0.45703176  0.44120342  0.65406106  0.59707184  0.3157683   0.62779815
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[ 0.39882151  0.63324467  0.54669282  0.51685507  0.65757818  0.3469809
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[ 0.53795664  0.508176    0.61527562  0.51804327  0.47474579  0.50094953
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[-1.02786993]
[ 0.48210645  0.56276647  0.49782154  0.48348108  0.5735842   0.3324347
  0.60819024  0.60760101  0.42540714  0.49633734]
Progress: 26.6% ... Training loss: 0.711 ... Validation loss: 1.229[ 0.2814516]
[ 0.30726844  0.37355407  0.60884771  0.45490976  0.43889559  0.33314886
  0.54446419  0.25294461  0.44304077  0.4739892 ]
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[ 0.45257436  0.5609091   0.56203563  0.40760014  0.68627287  0.56885278
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[ 2.38256468]
[ 0.42643102  0.56641692  0.63696211  0.4580909   0.42599773  0.46552846
  0.54340909  0.6224824   0.41060865  0.29961035]
[ 0.03922521]
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[ 1.54338663]
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[ 0.18672731]
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[ 3.09527732]
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[ 1.06291379]
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[ 0.06524007]
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[ 0.08362085]
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[ 1.10966122]
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[ 0.45623925]
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[ 0.09491713]
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[ 1.45200067]
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[ 0.08079286]
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[ 0.33445133]
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[ 0.91306192]
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[ 3.77522915]
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[ 2.19213926]
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[ 0.38894827]
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[ 3.12708035]
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[ 1.01705263]
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[ 1.36788158]
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[ 0.80773892]
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[ 0.60834438]
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[ 0.00383507]
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[ 1.68766257]
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[ 1.08430957]
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[ 0.70712191]
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[ 0.12521033]
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[ 0.63502214]
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[ 0.68512541]
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[ 0.09076809]
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[ 0.64948756]
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[ 0.23012483]
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[ 0.79505912]
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[ 1.1099192]
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[ 0.78436203]
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[ 1.03824499]
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[ 1.87298678]
[ 0.3051101   0.44947448  0.56519622  0.57281113  0.30815982  0.57701872
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[ 0.22991958]
[ 0.64404235  0.79422921  0.3765026   0.42935802  0.70105796  0.42616548
  0.5934561   0.35463514  0.24877725  0.35967486]
[ 1.61921303]
[ 0.49129143  0.7243648   0.42417585  0.28082149  0.7634192   0.17202955
  0.64616525  0.4330024   0.29958225  0.43688052]
[ 0.09181339]
[ 0.38016256  0.6089453   0.46844556  0.50702247  0.57206839  0.5228559
  0.58499705  0.57932622  0.34635674  0.46803789]
[-0.42334562]
[ 0.54838966  0.6912591   0.30538188  0.47269323  0.67274353  0.36647702
  0.62713788  0.37903602  0.41042292  0.40174583]
[ 0.38112694]
[ 0.37694952  0.71778852  0.57476882  0.38640879  0.69343188  0.53611176
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[ 0.42845066  0.56469386  0.44669604  0.51841516  0.51208501  0.44092196
  0.4684313   0.64571715  0.52120958  0.52869047]
Progress: 26.9% ... Training loss: 0.710 ... Validation loss: 1.218[-0.11038228]
[ 0.40949284  0.57208133  0.65215075  0.43506673  0.27365342  0.55956892
  0.44550983  0.66479134  0.56501782  0.68880969]
[ 0.51575627]
[ 0.62570132  0.69046003  0.45087196  0.44194987  0.60171259  0.43115016
  0.57572152  0.38964375  0.32291163  0.41229476]
[ 1.02896621]
[ 0.34560569  0.48974504  0.64502196  0.37889203  0.44209666  0.58401276
  0.43830397  0.4623752   0.53586586  0.58329024]
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[ 0.36320584  0.41050958  0.69208805  0.40278985  0.23103035  0.60617533
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[ 1.07739533]
[ 0.47598044  0.61987964  0.53907407  0.48583528  0.45446573  0.45841529
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[-0.46727506]
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[ 1.77150009]
[ 0.59701154  0.66828411  0.44508195  0.32612588  0.78620018  0.39559587
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[ 0.46404259]
[ 0.51060778  0.63029273  0.4608967   0.34867228  0.67933921  0.24564695
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[-0.60435867]
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[ 0.26473136]
[ 0.44222459  0.53928058  0.53114986  0.40324202  0.63016499  0.54659064
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[ 0.79962242]
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  0.57551211  0.27826281  0.39718645  0.4033377 ]
[ 0.36897091]
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  0.49564151  0.45597732  0.53003484  0.58207547]
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  0.46078473  0.46559747  0.27778475  0.47605676]
[ 0.15054032]
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[-0.83974964]
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[-0.56107772]
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[ 0.67306866]
[ 0.49766371  0.63338244  0.35422569  0.40942358  0.65342962  0.37125369
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  0.54466791  0.6036966   0.51963305  0.65544813]
[ 2.11133865]
[ 0.56562993  0.60652494  0.44255811  0.46061084  0.51715725  0.40841425
  0.54353391  0.53941628  0.37571754  0.53179617]
[ 0.34905041]
[ 0.55000561  0.58702059  0.48266806  0.46367819  0.65586704  0.31051998
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[ 2.01975308]
[ 0.34796341  0.55871548  0.63648761  0.3649238   0.55573816  0.34267777
  0.44936914  0.46812548  0.46539293  0.57438271]
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[-1.01204348]
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[ 1.5682751]
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[ 1.0309048]
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[-0.83380248]
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  0.65043506  0.49897038  0.35705199  0.5157641 ]
[ 1.36472019]
[ 0.49736278  0.65337394  0.54539181  0.36599828  0.48879307  0.5417404
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[ 0.52370317  0.6951393   0.49378782  0.42243425  0.31562361  0.46765609
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[ 2.45909172]
[ 0.41587128  0.58311954  0.66241375  0.42559688  0.43631807  0.47859526
  0.58595216  0.65192485  0.36796758  0.43332722]
[ 0.42939006]
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[ 0.59496869]
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[ 2.33403662]
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[ 0.27690356]
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[ 0.23739408]
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[ 1.01146182]
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[ 0.25369184]
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[ 1.42892135]
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[ 0.04713174]
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[ 0.71309838]
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[ 0.74366146]
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[ 0.3982029]
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[ 2.97656075]
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[ 0.55872752]
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[ 0.60036734]
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[ 0.54165779]
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[ 1.7433186]
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[ 0.77486855]
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[ 0.08424129]
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[ 1.14407087]
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[ 1.18813081]
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  0.66251596  0.66307903  0.41278381  0.4291158 ]
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[ 0.32552203]
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[ 0.5506044]
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[ 0.81535656]
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[ 0.39424306]
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[ 0.49459053]
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[ 0.74099972]
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[ 0.97703794]
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[ 0.06326279]
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[ 0.18022043]
[ 0.52503119  0.73452211  0.51897744  0.43782249  0.54871106  0.39145693
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[ 1.19356755]
[ 0.51722293  0.45693287  0.54377399  0.46336424  0.51766463  0.39308485
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[-0.18841712]
[ 0.339514    0.38550546  0.73719816  0.42238492  0.35750356  0.61073397
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[-0.03292166]
[ 0.46353001  0.55811413  0.52075119  0.40761151  0.29613596  0.48927821
  0.54851934  0.59202362  0.43991006  0.73025731]
[ 1.11922942]
[ 0.47805478  0.79229513  0.47086983  0.43495642  0.64252131  0.41887326
  0.57368071  0.60646633  0.32025149  0.38909897]
[-0.9355229]
[ 0.37365626  0.55132621  0.59766684  0.37665874  0.57578947  0.52045942
  0.45026741  0.47987006  0.54742861  0.44615158]
[ 1.02590577]
[ 0.57326256  0.48629456  0.50577452  0.50767784  0.47124422  0.52981797
  0.44082518  0.52287942  0.4752258   0.52969507]
[-0.78273061]
[ 0.40102948  0.60628875  0.44223018  0.59737774  0.39286046  0.52941012
  0.58164745  0.71158823  0.4981917   0.57217297]
[ 1.01977542]
[ 0.63564309  0.72632275  0.42063479  0.41561433  0.67298595  0.35760849
  0.54812106  0.42656997  0.42065424  0.30392608]
[-0.47746797]
[ 0.46862238  0.68110544  0.54311912  0.55583806  0.36874731  0.61777374
  0.47961577  0.69812771  0.54265516  0.49946582]
Progress: 27.1% ... Training loss: 0.710 ... Validation loss: 1.196[-0.72835599]
[ 0.53209907  0.71865637  0.3856418   0.38290737  0.72762233  0.28985369
  0.77006211  0.34606789  0.24513079  0.35726661]
[-0.69098051]
[ 0.42281948  0.45987384  0.5597252   0.56534551  0.43082416  0.56261696
  0.63623634  0.70543548  0.54768344  0.57501912]
[-1.37066223]
[ 0.55579546  0.59442818  0.35991405  0.46800675  0.71059635  0.37356478
  0.58470071  0.25735673  0.35016984  0.36504194]
[-0.52452398]
[ 0.41584123  0.50657067  0.55672509  0.54072802  0.31611646  0.49872462
  0.54004154  0.82063811  0.67093836  0.6394402 ]
[-0.46265274]
[ 0.60646447  0.68920131  0.52755261  0.46654081  0.46697636  0.60042348
  0.42594643  0.36593007  0.39504285  0.55580624]
[-0.16254144]
[ 0.28093035  0.31010004  0.6539984   0.47728119  0.34642387  0.4444271
  0.43030128  0.4632344   0.62396487  0.61861317]
[ 1.80790182]
[ 0.52439461  0.67404455  0.59223784  0.44412824  0.4458966   0.40796261
  0.64130234  0.53977884  0.32166553  0.5528634 ]
[-0.89637974]
[ 0.5240493   0.59549094  0.56297832  0.51090005  0.47012825  0.41162299
  0.64707961  0.46772203  0.31185872  0.4993306 ]
[-0.14679567]
[ 0.53699448  0.5295744   0.52077937  0.368844    0.56440488  0.45525664
  0.53002795  0.45703906  0.51436954  0.50152556]
[ 1.39631059]
[ 0.49625016  0.5239102   0.52368899  0.49322637  0.42911435  0.50584045
  0.61208131  0.59951086  0.4549247   0.5483339 ]
[ 0.99438412]
[ 0.53542107  0.64798139  0.39793625  0.49230931  0.56946787  0.45781884
  0.58377273  0.54528787  0.32245077  0.35084867]
[-1.00135297]
[ 0.54905691  0.58105222  0.60463272  0.40844968  0.40000645  0.38686525
  0.56251813  0.46990757  0.39453549  0.59566316]
[-0.30898869]
[ 0.64494124  0.6878674   0.39547723  0.43967276  0.67385491  0.28618471
  0.67183547  0.29219003  0.29633002  0.35801179]
[-1.1019749]
[ 0.56213863  0.72571037  0.55643525  0.32959336  0.62499993  0.31593326
  0.57799109  0.486525    0.29752638  0.26350086]
[ 1.63498912]
[ 0.36058943  0.61808596  0.66128758  0.46562563  0.42196867  0.45928371
  0.52983122  0.52282172  0.40815122  0.46952355]
[ 0.13082092]
[ 0.53935121  0.66802138  0.43869693  0.4883348   0.60652898  0.31935067
  0.67538715  0.34177133  0.33531824  0.48953117]
[-0.661125]
[ 0.74132491  0.74346321  0.28842786  0.46356669  0.68605238  0.33803231
  0.63029905  0.34799988  0.35325609  0.40894315]
[-0.14165152]
[ 0.60836781  0.61574057  0.39005539  0.49599577  0.64210384  0.46989458
  0.56350717  0.3272675   0.422095    0.32927865]
[ 0.50732539]
[ 0.62229427  0.58836681  0.32213755  0.40959731  0.8028115   0.23378725
  0.64595109  0.31335937  0.34202601  0.3058019 ]
[-0.24967895]
[ 0.45149885  0.46765723  0.59539169  0.50034435  0.40534399  0.42816771
  0.48986302  0.47934106  0.48916573  0.62463924]
[-0.73080041]
[ 0.49645172  0.46481128  0.55687898  0.47797786  0.49423779  0.3586382
  0.4868836   0.54380301  0.48495079  0.481737  ]
[ 1.89071104]
[ 0.70116727  0.67390101  0.47439997  0.40437212  0.59658696  0.28772552
  0.60321348  0.53385894  0.3350513   0.3708847 ]
[ 1.24063815]
[ 0.54889234  0.76690772  0.39873925  0.43866994  0.75156663  0.35347223
  0.5611152   0.51913742  0.34828292  0.31262765]
[-0.04296704]
[ 0.42446706  0.51671192  0.55192839  0.61516429  0.25185662  0.49756688
  0.60195814  0.60782544  0.51894759  0.61423866]
[-1.21817044]
[ 0.57942516  0.55685753  0.51090135  0.38208892  0.68942405  0.41715199
  0.5923549   0.45583396  0.52375737  0.54879826]
[ 1.82520126]
[ 0.59144293  0.67952824  0.43699343  0.33029501  0.77172442  0.40907207
  0.6326765   0.37986247  0.33330267  0.41707817]
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[ 1.84981322]
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[ 0.70250709]
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[ 0.00977338]
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[ 0.1941486]
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[ 0.03872533]
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[ 0.25958934]
[ 0.42903098  0.43414441  0.59111688  0.46267774  0.36514183  0.339993
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[ 0.94037011]
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[ 0.29828279  0.32897663  0.59317177  0.44500893  0.55495101  0.49202394
  0.49442039  0.46462836  0.42724384  0.4703887 ]
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[ 0.55261041  0.72435171  0.37500656  0.43378107  0.7204501   0.49996311
  0.50913933  0.4967035   0.43498644  0.3533798 ]
[-0.4658449]
[ 0.46630993  0.60004367  0.62760744  0.36461404  0.39380691  0.55991163
  0.3747617   0.49434628  0.58596071  0.53081613]
[ 0.69305377]
[ 0.62697072  0.34922357  0.66154271  0.45620453  0.3929098   0.40328032
  0.51451557  0.45847818  0.46356724  0.50305065]
[-0.71179957]
[ 0.38832115  0.51789073  0.59847515  0.45564423  0.4414309   0.59377231
  0.37139323  0.60773858  0.61970028  0.51806974]
[-0.81008059]
[ 0.43754223  0.63011315  0.58615747  0.60919653  0.43941324  0.5611439
  0.44118856  0.71703052  0.5332236   0.43930414]
Progress: 27.4% ... Training loss: 0.709 ... Validation loss: 1.191[ 1.84370807]
[ 0.66871831  0.63165466  0.58924836  0.45746012  0.44960104  0.41480132
  0.4206242   0.54942777  0.39525147  0.44325182]
[ 0.02354202]
[ 0.57401372  0.53063653  0.47371849  0.4462383   0.50499206  0.50268419
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[ 0.43118625]
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[ 0.21005084]
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[ 0.42031095]
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[ 0.41629934]
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[ 1.23837731]
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[ 0.37831502]
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[ 2.52639561]
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[ 0.49651802]
[ 0.46304465  0.65776882  0.48891285  0.36375636  0.52811455  0.55413407
  0.44739974  0.53635713  0.49461944  0.54524939]
[ 0.02026603]
[ 0.50640821  0.67825925  0.25772712  0.39553383  0.81379132  0.37186231
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[ 0.35962628  0.5970813   0.56960117  0.52472777  0.41331163  0.47799688
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[-1.44871063]
[ 0.58993498  0.69475927  0.50721141  0.43765212  0.63207127  0.33080639
  0.65598304  0.51076     0.2549748   0.33445293]
Progress: 27.7% ... Training loss: 0.706 ... Validation loss: 1.219[-0.38547601]
[ 0.29392912  0.48535348  0.63287511  0.43423522  0.33040714  0.63767921
  0.45794106  0.55797701  0.58846219  0.6337617 ]
[ 0.29767568]
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[ 0.59491838]
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[ 0.33613734]
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  0.48005509  0.45441723  0.48669979  0.45944815]
[ 0.27940229]
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[ 0.62239547]
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[ 0.35253432]
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[ 0.92811682]
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[-0.70202017]
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[ 2.54016222]
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[ 1.31404658]
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[ 1.98713194]
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[ 0.07534763]
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[ 0.11149343]
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[ 0.71601447]
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[ 1.11979677]
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[ 0.64686992]
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[ 0.20708152]
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[ 0.18128373]
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[ 0.37112377]
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[ 0.05150251]
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[ 1.46177053]
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[ 1.74011938]
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[ 1.38989358]
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[ 0.0469529]
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[ 0.03510857]
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[ 1.67376573]
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[ 0.93625657]
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[ 2.41526586]
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[ 0.45168521]
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[ 1.07634615]
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[ 0.15625945]
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[ 0.86127098]
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[ 0.07879349]
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[ 0.24590284]
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[ 2.28752096]
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[ 0.25224307]
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[ 0.90052109]
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[ 1.24869431]
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[ 0.38784452]
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[ 0.45244937  0.47703592  0.60553053  0.41714577  0.36272677  0.38279691
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[ 0.34766672  0.43099117  0.76379938  0.42307272  0.17843538  0.63294394
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[ 0.3526552   0.38209637  0.71163616  0.47869643  0.24418771  0.58311006
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[-0.42672319]
[ 0.41540527  0.58140115  0.64831015  0.42327908  0.25445474  0.52984326
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[ 0.39245951  0.31367901  0.72704253  0.5452875   0.17252521  0.62355089
  0.53634246  0.6306131   0.64861329  0.63727126]
Progress: 28.0% ... Training loss: 0.705 ... Validation loss: 1.214[-0.20428524]
[ 0.45724598  0.59951841  0.50182363  0.47179047  0.48729656  0.34816896
  0.68562424  0.60519419  0.39724093  0.64077867]
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[ 0.15305449]
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[ 0.85862191]
[ 0.48295725  0.60927223  0.61092145  0.42547641  0.56749277  0.51718152
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[ 0.93431489]
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[ 0.70449859]
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[ 1.28498752]
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[ 1.44267739]
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  0.66634004  0.46690011  0.23059187  0.51334055]
[ 1.34543793]
[ 0.56866437  0.79872148  0.40210514  0.39817803  0.70707446  0.38599529
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[ 0.32119382]
[ 0.4047421   0.41431837  0.66276321  0.44269349  0.38645679  0.6319496
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[ 0.17077442]
[ 0.5039132   0.52548759  0.45797332  0.54032661  0.57946977  0.33091733
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[ 3.06361327]
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[ 2.23344394]
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[ 1.40965735]
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[ 1.40736577]
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[ 0.03850168]
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[ 0.70895585]
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[ 0.56811581]
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[-1.05020664]
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[ 0.49147489]
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[ 1.67314113]
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[ 0.51529485]
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[ 1.07742146]
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[ 0.23119986]
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[ 0.31621953]
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[ 0.74952812]
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[ 0.35745289]
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[ 0.14148476]
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[ 0.25431149]
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[ 0.21142996]
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[ 0.38144269]
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[ 0.39688891]
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[ 0.44865845]
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[ 0.52936549]
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[ 2.04509762]
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[ 0.00812044]
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[ 0.06673533]
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[ 1.13530883]
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[ 1.83731969]
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[ 0.03249629]
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[ 0.42917934]
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[ 0.30997207]
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[ 0.90677228]
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[ 0.42299547  0.64582982  0.4725165   0.47017537  0.61049473  0.51854771
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[-1.20394706]
[ 0.59720716  0.56293943  0.33979581  0.47426509  0.70462522  0.2821467
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[ 0.64068339]
[ 0.60280647  0.62442881  0.34047705  0.41904054  0.71162644  0.32219942
  0.56143584  0.40241093  0.39881047  0.4102556 ]
[ 2.80935836]
[ 0.606101    0.68693247  0.39325648  0.47291383  0.59782679  0.35312947
  0.69590583  0.34993457  0.28325711  0.28044141]
Progress: 28.3% ... Training loss: 0.704 ... Validation loss: 1.208[ 1.03524092]
[ 0.38897093  0.48268459  0.63910036  0.36559907  0.58180246  0.49303738
  0.50451987  0.40761039  0.52835221  0.40385422]
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[ 0.4113781   0.64645142  0.59488882  0.55705938  0.4751338   0.44001105
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[ 2.12884091]
[ 0.37852389  0.65154622  0.56429233  0.45659006  0.50446464  0.48620763
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[ 1.65013899]
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[ 0.94109229]
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[ 0.00107728]
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[ 0.22115487]
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[ 0.1904641]
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[ 0.80523715]
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[ 0.72285131]
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[ 0.35226438]
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[ 0.2675791]
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[ 0.71729853]
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[ 1.21252358]
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[ 0.16651548]
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[ 0.44801831]
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[ 0.62923815]
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[ 0.15842623]
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[ 0.5178979]
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[ 1.12842861]
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[ 0.51991633  0.7015758   0.27517437  0.49807396  0.59364444  0.3393879
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[ 0.22075907]
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[ 0.42765505  0.4987285   0.60857836  0.47095585  0.6019889   0.58758755
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[-0.41920394]
[ 0.45723825  0.50980046  0.46232963  0.47078595  0.6147665   0.33831034
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[ 0.38349155  0.38465679  0.57324025  0.55165735  0.34428893  0.57865939
  0.49143669  0.69549267  0.63389304  0.64460015]
[-0.44096565]
[ 0.44837186  0.46034216  0.61039555  0.60021459  0.26634485  0.65539464
  0.52948891  0.70130345  0.57587354  0.62395081]
[-0.0381601]
[ 0.36227347  0.51283095  0.53090012  0.46963031  0.475773    0.54746344
  0.57114084  0.54529155  0.55492207  0.63748841]
[-0.59160253]
[ 0.52414352  0.5651247   0.61039277  0.4301767   0.5250068   0.32138145
  0.47787162  0.57225146  0.43929209  0.40886638]
Progress: 28.6% ... Training loss: 0.704 ... Validation loss: 1.229[-0.1244898]
[ 0.29745725  0.43983259  0.68213513  0.52924666  0.32152245  0.63253765
  0.38165962  0.62680273  0.59489046  0.70576369]
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[-0.41570118]
[ 0.41771282  0.36255729  0.56313822  0.45650909  0.3378216   0.57000369
  0.5304775   0.51742395  0.60515376  0.55133689]
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[ 0.8821065]
[ 0.34847191  0.50881189  0.4487425   0.47203799  0.65559117  0.50460221
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  0.61956421  0.59384628  0.39257811  0.52324191]
[ 0.24883004]
[ 0.51184385  0.52847922  0.47434337  0.42836849  0.60658667  0.40798457
  0.50430841  0.52477163  0.50277561  0.53066849]
[ 1.693444]
[ 0.74030118  0.71545348  0.42082626  0.47150905  0.5262429   0.45796719
  0.59586048  0.42176388  0.28189792  0.43533898]
[ 0.0551769]
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  0.48840425  0.46633853  0.51461183  0.48122414]
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[-1.03360225]
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[ 0.8199982]
[ 0.61275548  0.56730915  0.50134055  0.57206329  0.60178831  0.40561379
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[ 0.71784684]
[ 0.64409535  0.72041915  0.38514834  0.50888541  0.60557015  0.50436763
  0.52587786  0.46603492  0.40510256  0.40991859]
[ 1.10915402]
[ 0.55986782  0.740132    0.36823703  0.37270013  0.78265593  0.34253333
  0.58626455  0.46594226  0.38680619  0.27637321]
[-0.43943427]
[ 0.39812388  0.45090896  0.71106378  0.49246812  0.39277096  0.62113455
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[ 0.41059122]
[ 0.4220691   0.60614816  0.57423757  0.33934428  0.43830028  0.28310686
  0.56077125  0.41900812  0.4426067   0.53182774]
[-0.07502353]
[ 0.4028734   0.50793661  0.58838861  0.45746907  0.2151843   0.56167583
  0.4117452   0.59124829  0.68406301  0.69842087]
[-0.88844922]
[ 0.57590637  0.56857284  0.55307663  0.52732497  0.4908484   0.45958737
  0.41440629  0.545713    0.5259626   0.43536988]
[ 2.1159794]
[ 0.35617639  0.71976978  0.56308858  0.36538947  0.61295655  0.42719911
  0.43954348  0.43993942  0.33688108  0.53998661]
[-0.31736319]
[ 0.44034875  0.55122128  0.48426791  0.46059383  0.55335193  0.58597778
  0.4704724   0.54143803  0.52155895  0.42554703]
Progress: 28.9% ... Training loss: 0.702 ... Validation loss: 1.218[-0.52459207]
[ 0.32624754  0.46991372  0.63978645  0.48361666  0.55630465  0.41582449
  0.46967782  0.49667392  0.46172556  0.49770715]
[-0.88408879]
[ 0.7123842   0.63405367  0.33689091  0.52181092  0.65736003  0.36740452
  0.66485947  0.29056485  0.39067873  0.2990418 ]
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  0.4432283   0.5164624   0.59634689  0.63646075]
[-0.86534767]
[ 0.58678818  0.49165268  0.53537255  0.57783238  0.42447755  0.56717485
  0.5703683   0.39968878  0.44880082  0.49337921]
[ 1.18136107]
[ 0.44911276  0.71077262  0.38908583  0.44247376  0.49023393  0.3762715
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[ 0.55620649  0.6582053   0.55802694  0.32385255  0.67436942  0.41816387
  0.57701486  0.40877645  0.36495162  0.38962157]
[ 1.64027355]
[ 0.55075155  0.62953107  0.55190059  0.4982415   0.49986834  0.53280898
  0.47988777  0.57267587  0.39283127  0.47603585]
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[ 0.60579817]
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[ 0.22719698]
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[ 0.99638316]
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[ 0.19320469]
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[ 2.67441912]
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[ 0.03541]
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[ 0.54485122]
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[ 0.33888916]
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[ 0.24073908]
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[ 0.11914036]
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[ 0.18630037]
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[ 0.59849679]
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[ 0.85726311]
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[ 1.36576544]
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[ 0.1879251]
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[ 3.13831692]
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[ 1.22616845]
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[ 1.25711742]
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[ 2.18233615]
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[ 0.68025531]
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[ 0.45221176]
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[ 1.09697308]
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[ 0.40872633]
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[ 1.04024093]
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[ 1.10609723]
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[ 0.06096267]
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[ 0.25358425]
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[ 0.00421425]
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[ 0.56926131]
[ 0.63488672  0.77718991  0.55508199  0.32733192  0.65232561  0.32597586
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[ 0.52043819  0.67818255  0.3927285   0.56997395  0.30109738  0.56657467
  0.60198844  0.68979007  0.35545904  0.60653111]
[ 0.03777525]
[ 0.45316799  0.5010703   0.64581926  0.55842816  0.31570087  0.59839723
  0.46689478  0.74154093  0.64601301  0.50570997]
[ 0.04762115]
[ 0.64517709  0.68925682  0.45626083  0.47499282  0.4653852   0.456385
  0.6057558   0.40691695  0.44583333  0.39343571]
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[ 0.3763767   0.50954817  0.59372982  0.47881176  0.32849949  0.50537109
  0.52968095  0.59255076  0.61743184  0.47992118]
Progress: 29.1% ... Training loss: 0.702 ... Validation loss: 1.237[ 0.8051874]
[ 0.34483228  0.55342106  0.43715805  0.41808981  0.52381585  0.41499346
  0.63140841  0.59221946  0.47942592  0.47400837]
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[ 0.12662455]
[ 0.4868912   0.57122143  0.58484363  0.53171954  0.37912476  0.46674208
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[ 0.30423607]
[ 0.44988412  0.63800575  0.50867071  0.48552571  0.3830083   0.63010827
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[ 0.71969506]
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[ 0.43008858]
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[ 0.20370326]
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[ 1.94348456]
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[ 2.16993574]
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[ 0.61593758]
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[ 0.38552745]
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[ 0.28664049]
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[ 0.11472954]
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[ 0.16333885]
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[ 0.10696107]
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[ 2.50568464]
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[ 1.44309428]
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[ 1.80513036]
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[ 0.6139727]
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[ 0.47573405]
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[ 0.1201936]
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[ 0.18411985]
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[ 0.71194969]
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[ 0.07323806]
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[ 0.24690323]
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[ 0.68090705]
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[ 0.53667098]
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[ 0.55465752]
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[ 0.59475786  0.61990339  0.4477425   0.44815413  0.60661006  0.4041529
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[ 0.31826252]
[ 0.50181979  0.58066052  0.40842113  0.50981532  0.61214348  0.43058032
  0.57239835  0.26944128  0.46938591  0.33310972]
[ 1.67050228]
[ 0.57088878  0.73007247  0.28783341  0.34963385  0.81675569  0.34780528
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[ 0.44581122  0.79034632  0.35571526  0.47111963  0.35140703  0.46516882
  0.62209602  0.60698341  0.32945032  0.5591795 ]
Progress: 29.4% ... Training loss: 0.703 ... Validation loss: 1.251[ 0.68177689]
[ 0.55830371  0.62365839  0.3775804   0.42447621  0.69729792  0.27990111
  0.61911742  0.32854725  0.33804072  0.43967216]
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[ 2.01408196]
[ 0.52714938  0.58275032  0.50201711  0.41869208  0.51900754  0.43375366
  0.60341335  0.61326328  0.42011772  0.6007364 ]
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  0.47137     0.5439984   0.53485274  0.62071749]
[ 0.81892483]
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[ 0.14362418]
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[ 0.88190987]
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[ 0.1302364]
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[ 1.30407311]
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[ 1.20736892]
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[ 0.70606727]
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[ 1.32317444]
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[ 0.02167271]
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[ 3.17092437]
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[ 0.28194931]
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[ 3.11762992]
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[ 1.28329238]
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[ 0.65875684]
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[ 0.29581619]
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[ 1.05372982]
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[ 0.84480667]
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[ 1.22468111]
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[ 0.29355653]
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[ 2.34022627]
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[ 0.11213033]
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[ 1.87565958]
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[ 2.1542417]
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[ 0.26698503]
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[ 0.71675194]
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[ 0.78616783]
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[ 0.67878827]
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[ 2.24165462]
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[ 1.90953445]
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[ 1.110142]
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[ 2.76970105]
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[ 0.15122964]
[ 0.43501919  0.56597998  0.42091806  0.54964651  0.48403241  0.40720119
  0.62312795  0.69175786  0.47644784  0.57400947]
[ 3.71299868]
[ 0.43212178  0.66022698  0.50987999  0.27041352  0.67074013  0.35337888
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[-0.31488714]
[ 0.32867413  0.37918088  0.63451852  0.51420268  0.36468075  0.52449249
  0.42584907  0.71803894  0.57209792  0.67573282]
[ 1.99122298]
[ 0.4578368   0.66870616  0.45937324  0.42031023  0.6917083   0.30443573
  0.6269178   0.46985389  0.33149565  0.41034217]
[-0.94727729]
[ 0.41334724  0.54643196  0.50235575  0.44708941  0.4538677   0.34645383
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[-0.04077469]
[ 0.62806056  0.71189322  0.42078005  0.50652517  0.40833346  0.5180289
  0.62261358  0.62177947  0.47678502  0.59338751]
Progress: 29.7% ... Training loss: 0.700 ... Validation loss: 1.205[-0.41351194]
[ 0.62305236  0.3973444   0.57436248  0.53006697  0.3197941   0.41436084
  0.51434022  0.44388413  0.53488159  0.47167811]
[ 0.56986737]
[ 0.48000817  0.71641737  0.38366586  0.48245663  0.71343508  0.32344033
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[ 0.41872972]
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  0.482656    0.57828204  0.50067576  0.62680213]
[ 0.62951117]
[ 0.35965924  0.6204173   0.59280142  0.43539004  0.45383306  0.45612476
  0.49688791  0.57058604  0.4050553   0.58865976]
[ 0.57881346]
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[-0.31423306]
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[ 0.22624404]
[ 0.51680647  0.6681672   0.54438698  0.44123064  0.41561311  0.41398941
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[-0.64918683]
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[ 1.6558138]
[ 0.52054193  0.49095096  0.55215547  0.50777419  0.46870936  0.51728603
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[ 1.15929159]
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  0.473006    0.72296071  0.51959508  0.65611096]
[ 0.03696447]
[ 0.49479106  0.62347754  0.48787368  0.49740424  0.35418836  0.44416949
  0.63519117  0.51409394  0.35737257  0.52469787]
[ 1.65157743]
[ 0.73327939  0.75464172  0.41640468  0.42079247  0.67658084  0.2785894
  0.72931663  0.47617655  0.21186227  0.38372976]
[-0.52334417]
[ 0.30652614  0.32502084  0.51717965  0.47098401  0.42865006  0.58844642
  0.49674178  0.45485894  0.49430286  0.53591776]
[-1.30947746]
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[-0.78670377]
[ 0.34095548  0.47488185  0.67760019  0.34203934  0.61681722  0.54230294
  0.48012891  0.45388864  0.51140498  0.5882424 ]
[ 0.36429155]
[ 0.51806837  0.38183542  0.57090608  0.49750804  0.36153287  0.44539597
  0.50024298  0.51648822  0.55824261  0.34900054]
[-0.92320548]
[ 0.370682    0.55482289  0.5052931   0.41759938  0.58387781  0.38825682
  0.48021248  0.49752142  0.3870434   0.47337351]
[ 0.07339395]
[ 0.33162384  0.50928804  0.50166912  0.59535815  0.27471128  0.60600958
  0.55247544  0.61266389  0.52660785  0.59375038]
Progress: 30.0% ... Training loss: 0.698 ... Validation loss: 1.209[-0.40253628]
[ 0.56070184  0.64293412  0.42365215  0.34795451  0.69843341  0.3746909
  0.48805849  0.43964972  0.55284874  0.42627675]
[ 0.36200412]
[ 0.52460975  0.66815831  0.32408749  0.37712331  0.83044271  0.14516226
  0.68847016  0.2834386   0.35197252  0.33171693]
[-0.21559879]
[ 0.35089086  0.35089532  0.66712909  0.49328425  0.23976361  0.64116947
  0.43183719  0.42821596  0.5194567   0.70430018]
[-0.52714502]
[ 0.44361997  0.51393839  0.6595947   0.51502203  0.3556131   0.58322112
  0.46128703  0.66045682  0.54980144  0.50722068]
[ 0.21360072]
[ 0.48637874  0.6897497   0.56083692  0.49521241  0.45245884  0.49595039
  0.47797919  0.48459097  0.41725477  0.59422163]
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[ 0.48058263  0.6970778   0.52470261  0.35147219  0.51712831  0.39763794
  0.5728891   0.30808697  0.46456164  0.30714886]
[-1.04582426]
[ 0.43585219  0.70720222  0.52242525  0.49246331  0.54804076  0.42543479
  0.6483013   0.54272798  0.37853044  0.38402958]
[-0.5444534]
[ 0.38067917  0.49568994  0.55029132  0.5333576   0.51559781  0.49114018
  0.50273397  0.64821118  0.50024422  0.50141153]
[ 0.65933177]
[ 0.61875851  0.57631672  0.35726569  0.45648894  0.71095364  0.31246173
  0.54692183  0.33493675  0.44789419  0.43552474]
[ 0.35839028]
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[-0.57948955]
[ 0.4753605   0.54473347  0.42399403  0.41645584  0.45284213  0.35168988
  0.66264578  0.63646453  0.47163794  0.63079298]
[-0.56702484]
[ 0.39978317  0.47194586  0.64814803  0.40743182  0.44579512  0.65610324
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[ 0.19648425]
[ 0.4004863   0.49866477  0.62420753  0.54299618  0.2163288   0.63142476
  0.44304927  0.68454518  0.63583383  0.63565676]
[-0.83612672]
[ 0.55723194  0.6465677   0.44544167  0.50485787  0.53697013  0.42783411
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[ 2.55242018]
[ 0.5243851   0.6147965   0.54772251  0.39970639  0.43134294  0.37092229
  0.60383187  0.44970575  0.33961275  0.49489399]
[ 0.97118888]
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  0.51365953  0.76395243  0.60355791  0.59307345]
[-0.35430264]
[ 0.3766962   0.5368735   0.7014531   0.4586203   0.43523685  0.42367373
  0.41488968  0.61502183  0.46854469  0.52992962]
[-0.18905994]
[ 0.46410002  0.5617459   0.39557071  0.40275193  0.68587846  0.46486074
  0.62284805  0.49087192  0.43070622  0.46282752]
[ 3.08648758]
[ 0.5326084   0.7060531   0.41680877  0.44039223  0.70497463  0.34722223
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[ 0.50212943]
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[-0.16926337]
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[-0.76031825]
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[-0.27379525]
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[ 0.08759932]
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[ 0.18877069]
[ 0.32195892  0.26046745  0.7307923   0.58426276  0.21160631  0.55392966
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[ 0.39399157]
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[ 0.65035962]
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[ 0.31114641]
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[ 0.48577879]
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[ 0.39617462]
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[ 0.08938913]
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[ 1.43275108]
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[ 0.00133132]
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[-1.02042324]
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[ 0.31957771]
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[ 0.26382755]
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[ 1.39927569]
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[ 2.82369228]
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[ 0.17867511]
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[ 2.33148175]
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[ 0.0447125]
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[ 0.04956548]
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[ 0.44486308]
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[ 0.02004941]
[ 0.3500245   0.38412492  0.68554977  0.49065573  0.20284246  0.53552373
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[ 0.4462347]
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[ 0.27426805]
[ 0.64734836  0.71406292  0.46086718  0.36359541  0.69470856  0.36915403
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[ 2.85904947]
[ 0.40230178  0.43062476  0.68970717  0.35008696  0.46539226  0.48023981
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[ 0.10155362]
[ 0.41884753  0.61284235  0.45313457  0.40007797  0.46438608  0.51554942
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[ 1.38832765]
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[ 0.39324091]
[ 0.33745683  0.52719101  0.57552806  0.41215951  0.47733196  0.43523241
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[ 0.04929462]
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[ 0.68850147]
[ 0.51258783  0.64233492  0.53253621  0.45050453  0.31182042  0.53744299
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[ 0.24629645]
[ 0.40002249  0.52030152  0.65316502  0.38711496  0.41903314  0.43243993
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[ 0.06368546]
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[-0.88440971]
[ 0.51569595  0.48232051  0.53713755  0.47511367  0.52418319  0.52280602
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[ 1.61178271]
[ 0.51358116  0.64620333  0.32426079  0.44937373  0.73181681  0.39325454
  0.66012956  0.31216653  0.28742991  0.2516954 ]
[ 2.49140366]
[ 0.45074766  0.60525177  0.53185736  0.49994826  0.48599139  0.53666413
  0.45025142  0.62165056  0.50322805  0.51884911]
[-0.91683708]
[ 0.43501633  0.55089751  0.44814636  0.51540442  0.62361787  0.52305333
  0.57310562  0.35382338  0.36503068  0.37757266]
[-0.17243294]
[ 0.3775779   0.41777952  0.64135162  0.61207389  0.25441749  0.58311926
  0.45444754  0.8051266   0.74696707  0.60197019]
[-0.34177662]
[ 0.63612562  0.73123883  0.33522621  0.5055957   0.60915554  0.50282984
  0.49806582  0.342035    0.37704403  0.36880537]
[-0.40061842]
[ 0.45155789  0.55334316  0.55055983  0.52430456  0.34962701  0.5354073
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[-0.54875146]
[ 0.3666832   0.44580045  0.62958902  0.47507643  0.3500287   0.57084919
  0.52581757  0.70769937  0.61936211  0.52194489]
Progress: 30.3% ... Training loss: 0.698 ... Validation loss: 1.201[-0.64007136]
[ 0.50597242  0.63399346  0.51935001  0.57623095  0.27731697  0.56379707
  0.5314288   0.75118318  0.6391713   0.53413992]
[-0.13234474]
[ 0.36914921  0.57911161  0.5869119   0.42004216  0.37867007  0.52549533
  0.4924356   0.61503061  0.51514848  0.700875  ]
[ 1.82379674]
[ 0.68110618  0.7993215   0.32490992  0.32356717  0.80573183  0.29199435
  0.7391188   0.28260872  0.1713318   0.32635297]
[-0.45001204]
[ 0.23941086  0.43572448  0.70870042  0.43073871  0.38810626  0.62340106
  0.40779937  0.56897187  0.5543079   0.6729108 ]
[-1.11393719]
[ 0.40855344  0.63407752  0.47235854  0.4778483   0.64519459  0.43473215
  0.63151624  0.54589808  0.3492452   0.42236215]
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[ 0.4429082   0.51041035  0.52615178  0.40468978  0.42974677  0.48444679
  0.47173883  0.5144619   0.54246445  0.69358103]
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[ 0.38198509  0.29878066  0.73176075  0.46746333  0.14980356  0.56447218
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[ 0.11117124]
[ 0.61448543  0.65012329  0.28835784  0.49162468  0.65091766  0.35924173
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[ 0.51466377]
[ 0.63044098  0.76558316  0.35454618  0.31880767  0.83187199  0.15408757
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[-0.21009461]
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[-0.85580991]
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[ 0.58989718]
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[ 0.37334566]
[ 0.52992819  0.65048818  0.39040079  0.43341561  0.71486183  0.37802685
  0.59302467  0.3976106   0.34920622  0.43231312]
[ 1.89024526]
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[ 0.09482197]
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  0.52105191  0.64350782  0.65687457  0.66578122]
[ 0.9746399]
[ 0.3914917   0.68997553  0.50663661  0.37944333  0.68358518  0.31605258
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[ 0.12642162]
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[-0.42841826]
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[-0.52743994]
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[-0.48905065]
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[ 0.34268347]
[ 0.53800749  0.64148087  0.43363697  0.46908554  0.70089479  0.34475784
  0.64405553  0.50805729  0.37434779  0.50801762]
[-0.32328213]
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[-0.19931219]
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[ 0.77952919]
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[ 0.33755821  0.36566904  0.6419849   0.47960988  0.32021469  0.59648511
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[ 1.62413338]
[ 0.60112151  0.77213253  0.41391463  0.35992301  0.76921895  0.2295783
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[ 0.53197882]
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[-0.65918627]
[ 0.38579158  0.51323115  0.6006616   0.45880802  0.43563097  0.59608761
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[ 0.13866827]
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  0.54977545  0.50910842  0.52512196  0.3234036 ]
[ 1.91876274]
[ 0.50058024  0.6673999   0.41191575  0.36010174  0.82951332  0.42290808
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[-0.79695413]
[ 0.51572813  0.67298632  0.40005714  0.48097134  0.44769757  0.4656689
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[ 0.45047793  0.72180014  0.43206893  0.31804509  0.65541514  0.37631471
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[ 1.3366431]
[ 0.45254537  0.61092354  0.38376427  0.47153841  0.67902253  0.33302375
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[-0.79451542]
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[ 1.34012172]
[ 0.5773021   0.5922228   0.41462755  0.47981516  0.67575935  0.27762811
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[ 0.83708451]
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[ 0.03842913]
[ 0.48507783  0.5545388   0.47122955  0.47846399  0.31455542  0.48597548
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[ 1.22502871]
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[ 0.23462367]
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[ 0.01495095]
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[ 0.89598497]
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[ 0.88796102]
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[ 2.10344981]
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[ 0.12014908]
[ 0.60231215  0.66720385  0.3249391   0.31791482  0.86953749  0.1362407
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[ 0.10745219]
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[ 0.38940172]
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[ 2.81538681]
[ 0.63295696  0.69541079  0.46012693  0.34363836  0.75523034  0.33676716
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[ 0.037852]
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[ 0.08194672]
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[ 0.19679352]
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[ 0.13864467]
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[ 0.59461049]
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[ 1.33799685]
[ 0.45490259  0.6813091   0.42944364  0.45648204  0.63207692  0.47255723
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  0.61178737  0.61437415  0.36773557  0.32408888]
[ 1.44608902]
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[ 0.5518935   0.61197663  0.33065144  0.36355233  0.7632805   0.3395989
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[ 1.39030797]
[ 0.48695424  0.56919785  0.49526827  0.59544764  0.36551032  0.52647314
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[ 0.16022148]
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[ 0.26837094]
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[ 0.18356886]
[ 0.38217076  0.76505178  0.41944376  0.35711377  0.66684637  0.46311329
  0.67962166  0.54964507  0.33929579  0.43979314]
[ 1.31799192]
[ 0.6643936   0.74409376  0.27776284  0.36717837  0.81107402  0.31204879
  0.70779027  0.35604251  0.2991616   0.35079683]
[ 0.14736177]
[ 0.35498338  0.43473871  0.75835406  0.44585637  0.14472974  0.49722922
  0.60384514  0.68684953  0.48941274  0.75419991]
[ 0.11320919]
[ 0.5153315   0.74088904  0.48454237  0.40391748  0.56609041  0.41760071
  0.58148673  0.45047454  0.28982972  0.41508528]
[ 2.02809284]
[ 0.61890653  0.68593738  0.42110077  0.31019894  0.8212298   0.36493295
  0.65503682  0.39088428  0.3247587   0.35721308]
[-1.06112637]
[ 0.56010066  0.4736831   0.55545663  0.42772156  0.63362272  0.43792762
  0.52049223  0.46530886  0.60929079  0.41567664]
[-1.06850235]
[ 0.43316567  0.49597076  0.55929181  0.41961792  0.70807381  0.28711475
  0.64398142  0.49100489  0.39135093  0.42098321]
Progress: 30.6% ... Training loss: 0.696 ... Validation loss: 1.218[ 1.25813386]
[ 0.59238081  0.74933448  0.36500213  0.40316656  0.67041633  0.27076035
  0.67265861  0.47373489  0.2087042   0.47530753]
[ 3.58326898]
[ 0.65749829  0.65752791  0.3915959   0.3150936   0.82906225  0.19678059
  0.62026059  0.50407415  0.36313169  0.1835841 ]
[ 0.11280301]
[ 0.41347867  0.41818993  0.58825692  0.4850987   0.52343759  0.34004484
  0.57435314  0.44175381  0.47773069  0.44063895]
[ 0.13335582]
[ 0.36391157  0.49249512  0.58178361  0.51187622  0.30087338  0.55822724
  0.50687387  0.60574101  0.6999624   0.51102527]
[-0.45752553]
[ 0.35082009  0.3712478   0.66142232  0.51805008  0.42776575  0.68073921
  0.42614638  0.69206743  0.63586749  0.49779967]
[ 0.75253589]
[ 0.41215604  0.62036439  0.43967644  0.4586032   0.58824149  0.36707135
  0.59401234  0.65076565  0.48852122  0.54008732]
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  0.54551722  0.70878103  0.55194785  0.65873253]
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  0.54569044  0.67396419  0.65328819  0.4549134 ]
[ 0.12675952]
[ 0.37688425  0.46241008  0.43871912  0.57140609  0.50031099  0.47159537
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  0.47520943  0.64156456  0.4867523   0.4926266 ]
[ 0.76092379]
[ 0.60853745  0.66141824  0.33922294  0.46732663  0.63295137  0.5500514
  0.52575109  0.42595353  0.39856972  0.46129806]
[ 3.07119886]
[ 0.49891241  0.59454973  0.46065548  0.32921154  0.64817702  0.3587941
  0.58529343  0.38366873  0.38932612  0.31261405]
[ 0.03766415]
[ 0.48016169  0.65796057  0.46934244  0.48028744  0.56446743  0.6011269
  0.57184255  0.6814931   0.31902674  0.48228357]
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[-0.64123035]
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[ 0.58355419]
[ 0.6721495   0.6979358   0.34535399  0.39769107  0.75570228  0.38978478
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[ 0.58049962  0.697421    0.36869979  0.32077617  0.69603707  0.42014043
  0.47709076  0.37648525  0.48584945  0.36590839]
[ 1.16580208]
[ 0.32804043  0.4055914   0.72690341  0.46007613  0.27544286  0.60434617
  0.47532228  0.57733037  0.41264647  0.65907613]
[ 0.00096207]
[ 0.47079558  0.70745007  0.50749254  0.35725737  0.67157668  0.29334248
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[ 0.97452649]
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  0.50876594  0.6157669   0.62188524  0.63205525]
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[ 1.60708629]
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[ 0.94585258]
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[ 0.81665472]
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[ 0.3723311]
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[ 0.07031793]
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[ 1.10238328]
[ 0.55278922  0.65417959  0.38799801  0.59491297  0.51252841  0.50643802
  0.58230767  0.36400521  0.37969781  0.34167725]
[ 0.3670566]
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[ 0.52604196  0.489693    0.48319201  0.53691306  0.39501316  0.39536143
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[ 2.56433294]
[ 0.51778977  0.6541136   0.56211572  0.29297729  0.75856526  0.29190552
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[ 0.57760133]
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[ 3.33658168]
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[ 2.04405719]
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[ 1.19689701]
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[ 0.17952066]
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[ 2.98787466]
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[ 0.25193332]
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[ 0.02463795]
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[ 0.08932763]
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[ 2.29700468]
[ 0.29625471  0.40039028  0.73978149  0.40812828  0.25731576  0.60288875
  0.4610507   0.58910135  0.6752039   0.49658502]
[ 0.21243168]
[ 0.55297899  0.62970857  0.5706699   0.35068551  0.59567981  0.30990013
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[-0.51126651]
[ 0.42106126  0.44793271  0.53548512  0.5692876   0.42581476  0.54421689
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[-0.3190457]
[ 0.46938003  0.57376737  0.54657237  0.5930339   0.44239684  0.63122831
  0.46721907  0.37791297  0.42886586  0.43521242]
Progress: 30.9% ... Training loss: 0.694 ... Validation loss: 1.202[ 0.02697512]
[ 0.6327986   0.70055792  0.33105284  0.35657515  0.90388748  0.26394783
  0.68718904  0.29056616  0.31478337  0.25607055]
[ 1.48322425]
[ 0.45811601  0.64552515  0.41992691  0.4141938   0.60261349  0.33677506
  0.67805712  0.61875815  0.40407921  0.36073229]
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  0.3930458   0.48591402  0.49924409  0.59035143]
[ 0.97901483]
[ 0.57630811  0.45542008  0.58427529  0.45868358  0.33366794  0.43204817
  0.60026821  0.47292354  0.39177773  0.62023771]
[ 0.10295493]
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[ 0.23460869]
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[ 0.39749195]
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[ 0.14658022]
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[ 0.79747709]
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[ 0.3808941]
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[ 0.18776189]
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[ 0.49498618]
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[ 0.88998621]
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[ 0.20550338]
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[ 0.1352659]
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[ 0.18164836]
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[ 2.97562636]
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[ 1.40505166]
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[ 2.34076614]
[ 0.5179148   0.6654094   0.41713243  0.37869497  0.65869025  0.33762025
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[ 1.12964791]
[ 0.61157796  0.5862043   0.43497516  0.28579425  0.76307459  0.19102662
  0.49727888  0.26474496  0.35032815  0.33583824]
[ 0.60945197]
[ 0.58000018  0.67142271  0.48939421  0.44475745  0.5028951   0.48493692
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  0.42589472  0.44995667  0.53194311  0.5932786 ]
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[ 0.42520771  0.42302393  0.65316892  0.43819267  0.25075852  0.53534233
  0.59506415  0.73482593  0.67421052  0.56977006]
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[ 0.28337217  0.44478361  0.74284449  0.45908577  0.30243511  0.68441596
  0.45941017  0.64107581  0.52839635  0.64166319]
[-0.53734764]
[ 0.54623671  0.60995267  0.54898925  0.41285249  0.56412636  0.51695722
  0.61792433  0.66599356  0.61677971  0.48510167]
[ 0.24768155]
[ 0.51208292  0.75354807  0.32560046  0.45259806  0.68736654  0.54506653
  0.53632611  0.59112852  0.41083028  0.44380676]
[ 0.9865581]
[ 0.57066811  0.71605908  0.34371668  0.44281205  0.72750369  0.38839886
  0.78175405  0.24744246  0.23742088  0.28922235]
[-0.7972019]
[ 0.39905063  0.57144242  0.58868922  0.46907886  0.43950026  0.511473
  0.60087661  0.63065504  0.57188236  0.38332561]
Progress: 31.1% ... Training loss: 0.693 ... Validation loss: 1.191[ 0.02244137]
[ 0.46836905  0.63068363  0.67087241  0.39258432  0.54334191  0.3571042
  0.4594298   0.48664943  0.36943805  0.44311102]
[-0.32356744]
[ 0.44794733  0.60398394  0.50057679  0.54167025  0.43730274  0.56165252
  0.60223098  0.67719332  0.46813535  0.59025479]
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[ 0.74521445]
[ 0.56400678  0.62837645  0.55120161  0.4846649   0.62331575  0.41729201
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[ 0.00488704]
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[ 0.35900141]
[ 0.58512831  0.67768805  0.53454295  0.40418996  0.53904357  0.38682147
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[ 1.33061423]
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[ 0.95253239]
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[ 0.61747078]
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[ 0.13836113]
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[ 0.43133995  0.61521631  0.461272    0.43514124  0.38059618  0.58021726
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[ 0.83416406]
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[ 0.42610779  0.62785113  0.52179573  0.36981342  0.36394042  0.35222061
  0.6442168   0.43269534  0.42653139  0.42320481]
[ 0.62756308]
[ 0.36345767  0.45174128  0.46639267  0.43022006  0.64251721  0.44519177
  0.55967146  0.53268853  0.48591832  0.43598361]
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[ 0.57981447  0.6764238   0.33986402  0.51079505  0.60737232  0.36396611
  0.59270573  0.5523797   0.37990469  0.53984379]
[-0.93804365]
[ 0.67835009  0.8705847   0.22665246  0.40636496  0.72513251  0.36835062
  0.68299721  0.52434832  0.25086196  0.48793015]
[ 0.75331938]
[ 0.41432883  0.42804868  0.72863094  0.40759969  0.35886997  0.42094219
  0.38816216  0.60092413  0.49254769  0.59476179]
Progress: 31.4% ... Training loss: 0.692 ... Validation loss: 1.207[ 2.12007472]
[ 0.51616476  0.76928097  0.35970328  0.38063373  0.70863369  0.33585289
  0.57055799  0.44460166  0.39592941  0.44967581]
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[ 0.63292648  0.75301186  0.32302073  0.38432423  0.79619691  0.38062154
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[ 0.29774128]
[ 0.33121981  0.481695    0.58003014  0.43692463  0.36737452  0.556201
  0.47938341  0.48853492  0.45955275  0.58833991]
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[ 0.49626581  0.56835079  0.63809276  0.45345155  0.38402821  0.46653795
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[ 0.42771008  0.66928762  0.47204541  0.41449812  0.36767417  0.35556148
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[ 0.07316448]
[ 0.47531733  0.58291657  0.56144376  0.41469051  0.68196327  0.40498143
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[ 0.08314295]
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[ 1.38451578]
[ 0.59660272  0.54861235  0.55710283  0.41978118  0.66980641  0.28675881
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[ 0.60504316]
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[ 0.01147857]
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[ 0.09735533]
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[ 0.20811514]
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[ 0.20672049]
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[ 0.05178653]
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[ 0.56060621]
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[ 1.1654698]
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[ 3.15189977]
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[ 0.88307556]
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[ 0.48855995]
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[ 0.34092559]
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[ 3.64653618]
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[ 1.93910675]
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[ 1.7301072]
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[ 2.27930545]
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[ 0.70170378]
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[ 0.1216326]
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[ 1.01307645]
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[ 0.46684291]
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[ 1.35700468]
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[ 0.9346703]
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[ 1.60973274]
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[ 0.79194407]
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[ 0.48680809]
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[ 0.96089358]
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[ 0.38454138  0.5539295   0.65780378  0.38343112  0.25822763  0.5320782
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[ 0.01802552]
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[ 0.31817002  0.44639159  0.65120953  0.45591742  0.56775549  0.46282841
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[ 0.45502865  0.52480195  0.6183521   0.48349294  0.28006989  0.55147422
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[-0.55379683]
[ 0.47767501  0.4143597   0.68408687  0.54320101  0.32842168  0.44885604
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[ 2.12773237]
[ 0.56499465  0.75813753  0.4067991   0.3703946   0.72683435  0.31875894
  0.68809669  0.4775854   0.19288344  0.37364157]
Progress: 31.7% ... Training loss: 0.690 ... Validation loss: 1.203[-0.78268643]
[ 0.53119047  0.53821433  0.53366661  0.56494291  0.50926995  0.60240046
  0.50276794  0.49731248  0.54485459  0.35699156]
[ 0.12600789]
[ 0.54685109  0.38272789  0.64570761  0.46005937  0.35912598  0.43538322
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[ 1.35170867]
[ 0.50618614  0.5413525   0.46742782  0.49304361  0.73025342  0.4211769
  0.50685583  0.49968848  0.48068921  0.45095683]
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[ 1.34193248]
[ 0.47970417  0.49155687  0.73855193  0.46367533  0.3633041   0.42132893
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[-0.56035569]
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[ 1.56530625]
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  0.53183228  0.31560109  0.40174334  0.35803998]
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[ 0.42733534  0.4500649   0.55794058  0.51413605  0.28629462  0.53117672
  0.48508331  0.62543017  0.66299416  0.5999546 ]
[-0.57462302]
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[ 0.75531702]
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[ 0.31494555]
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[-0.60164598]
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[ 1.01712075]
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[ 0.36421296]
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[-1.03309173]
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[ 1.16114962]
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[ 0.03469539]
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[ 0.04350568]
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[ 0.23788256]
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[ 0.09861897]
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[ 1.04839797]
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[ 0.21341051]
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[ 2.33779785]
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[ 0.60056134]
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[ 0.5003235]
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[ 1.39188708]
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[ 0.23193478]
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[ 1.07791112]
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[ 1.80571218]
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[ 0.36036748]
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[ 0.31661517]
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[ 1.6040707]
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[ 0.38976045]
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[ 0.10934201]
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[ 1.68715023]
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[ 1.11623555]
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[ 1.19802303]
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[ 0.73167378]
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[ 0.42354156  0.61100527  0.42711585  0.59548219  0.47680486  0.53799589
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[ 0.79785406]
[ 0.30716063  0.43918894  0.63162765  0.38227731  0.40091349  0.62925105
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[ 0.75531702]
[ 0.42293647  0.30562552  0.61276556  0.46618837  0.31299452  0.41479277
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[-0.20616915]
[ 0.4127117   0.6158772   0.52733064  0.43181459  0.39396144  0.4069168
  0.55849215  0.5877152   0.53317931  0.53710727]
Progress: 32.0% ... Training loss: 0.689 ... Validation loss: 1.206[-0.1926165]
[ 0.46997369  0.68277802  0.48797485  0.49931034  0.45687371  0.50174202
  0.52869013  0.76138152  0.52437735  0.46816232]
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[ 1.67132311]
[ 0.46900249  0.65307793  0.42376328  0.44619853  0.660242    0.34524986
  0.60498794  0.43072363  0.34371838  0.40641908]
[ 1.46154684]
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  0.5561613   0.5876184   0.32655783  0.4588048 ]
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[ 1.02767698]
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[ 0.15669978]
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[ 0.5967304]
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[ 0.00622234]
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[ 0.50931062]
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[ 0.04465177]
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[ 0.11497041]
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[ 0.21568678]
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[ 1.83749243]
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[ 2.35461677]
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[ 0.54868608]
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[ 0.12241581]
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[ 1.53314512]
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[ 3.13457121]
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[ 0.41324236]
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[ 1.09869543]
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[ 0.08428167]
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[ 0.46322261  0.64243501  0.3991688   0.52494672  0.29225347  0.64324458
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[-0.49377385]
[ 0.66736662  0.73007643  0.29222877  0.45541768  0.67714447  0.4031625
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[-0.05370661]
[ 0.38303504  0.49208492  0.61867136  0.49595126  0.40277709  0.67903188
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[-0.37802979]
[ 0.48852205  0.66452979  0.49144572  0.5685188   0.37256425  0.5676064
  0.49562967  0.57808726  0.41198505  0.54334378]
Progress: 32.3% ... Training loss: 0.689 ... Validation loss: 1.212[-0.80019813]
[ 0.41720283  0.61763408  0.57258135  0.47430122  0.52297823  0.43250604
  0.48608523  0.60911191  0.49518626  0.49735512]
[-0.66944781]
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  0.4480804   0.6301836   0.69067691  0.71544484]
[ 1.02559891]
[ 0.35993925  0.62515906  0.67231063  0.45463182  0.47009595  0.5991073
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[ 1.56825492]
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  0.5583844   0.40750652  0.40502969  0.41966253]
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[ 1.18092986]
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[ 0.63671524]
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[ 0.07026959]
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[ 0.46874101  0.54808237  0.56371477  0.56432028  0.56023752  0.46858915
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[ 0.16413148]
[ 0.5407166   0.67218374  0.3656452   0.48635937  0.60085991  0.45773199
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[ 0.29597664  0.35277029  0.66608173  0.57951433  0.36508772  0.70799372
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[ 0.65014346]
[ 0.50725852  0.54758843  0.5560528   0.42954388  0.62201648  0.50954895
  0.48750951  0.41683526  0.4602535   0.33464365]
Progress: 32.6% ... Training loss: 0.690 ... Validation loss: 1.238[-0.8489567]
[ 0.51066343  0.51714066  0.49362824  0.52389193  0.49358945  0.5395148
  0.56383431  0.3433483   0.48734082  0.36012055]
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[ 0.13255829]
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[ 0.01997337]
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[ 0.36346045]
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[ 0.00077112]
[ 0.41808128  0.37309992  0.74360251  0.55811905  0.11153043  0.56367963
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[ 1.13850066]
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[ 1.01342431]
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[ 0.17862877]
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[ 0.10884711]
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[ 0.09942487]
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[ 0.09618487]
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[ 0.89686356]
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[ 0.33381278]
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[ 0.12792688]
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[ 0.43397733]
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[ 3.44467412]
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[ 0.00990823]
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[ 1.20292031]
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[ 0.91132726]
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[ 0.65218534]
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[ 0.55644225]
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[ 0.5088272]
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[ 1.02389171]
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[ 0.05664512]
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[ 0.53026452]
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[ 2.20910986]
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[ 0.48363281]
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[ 2.28366209]
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[ 2.14172981]
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[ 0.06082699]
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[ 0.11567462]
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[ 0.0823624]
[ 0.37610252  0.57198701  0.59043811  0.38822211  0.36259119  0.51357658
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[ 1.96364097]
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[ 0.78542934]
[ 0.61183383  0.69541056  0.35532725  0.36829857  0.78221603  0.22910727
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[ 0.80463702]
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[ 0.02307904]
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[ 1.05708561]
[ 0.69142416  0.70224255  0.38868162  0.40242327  0.71004399  0.40034744
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[ 0.31083457  0.392457    0.74666454  0.40813169  0.27892584  0.63587993
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[ 0.11631281]
[ 0.29321449  0.37198039  0.73228358  0.68097902  0.17708758  0.738223
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[ 0.61291257]
[ 0.59824724  0.84964566  0.30345777  0.48973954  0.66904901  0.38756985
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[ 1.51897914]
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[ 0.59597181  0.70542517  0.52914088  0.37383251  0.52270032  0.4196516
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[ 0.40229603  0.61739548  0.47362025  0.44113105  0.45778937  0.55318597
  0.6048133   0.54293246  0.50451048  0.60727009]
[ 2.67198948]
[ 0.57089717  0.72374844  0.38209422  0.32710705  0.78752442  0.30407533
  0.69846112  0.38631214  0.2819299   0.33592953]
[ 0.70298889]
[ 0.62094449  0.64052645  0.36961888  0.42560903  0.72849007  0.44490293
  0.64480687  0.44236469  0.40724251  0.32886009]
[-0.85228224]
[ 0.59250319  0.46301691  0.54783846  0.56703245  0.46744561  0.54719851
  0.57728646  0.39482905  0.45105001  0.46042371]
[-0.05957913]
[ 0.59051085  0.78168772  0.36814894  0.36507093  0.4794185   0.35510372
  0.60532343  0.44145057  0.46163861  0.43296672]
[ 0.07246269]
[ 0.57760267  0.75379596  0.44902049  0.44958107  0.54107974  0.40910927
  0.61149388  0.4393847   0.23680186  0.50998882]
[ 0.2369568]
[ 0.58932992  0.61525026  0.50391161  0.39117905  0.53584504  0.31657036
  0.72730538  0.36492933  0.27695785  0.43715312]
Progress: 32.9% ... Training loss: 0.688 ... Validation loss: 1.233[ 0.23097805]
[ 0.57312648  0.57506133  0.38002772  0.50324081  0.69747722  0.47471321
  0.52048883  0.35717237  0.45354201  0.421469  ]
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[ 0.48610998  0.54998292  0.52434746  0.59556534  0.4332493   0.57237508
  0.53046695  0.34496668  0.43328728  0.43828933]
[-0.28336181]
[ 0.49578241  0.61839823  0.46197686  0.38908872  0.62909387  0.33505762
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[-0.42085196]
[ 0.33924342  0.39864363  0.58444379  0.53619359  0.47409216  0.54247929
  0.45250153  0.63145535  0.55241436  0.56093274]
[-0.35127105]
[ 0.35853735  0.46722558  0.56193444  0.51529557  0.37017499  0.62397409
  0.45169548  0.65047014  0.63539675  0.72090772]
[ 1.68712554]
[ 0.45321857  0.75343709  0.46850674  0.3141964   0.80397113  0.42843211
  0.53402718  0.37969703  0.33240988  0.38601341]
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[ 0.91204268]
[ 0.53520508  0.70969848  0.3656121   0.27395482  0.7283748   0.18319136
  0.61750517  0.37358644  0.28065285  0.48978645]
[ 0.12803593]
[ 0.58824881  0.78372111  0.37441417  0.34447418  0.8269214   0.42760539
  0.61500947  0.34431562  0.2615511   0.35883145]
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[ 0.19720435]
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[ 1.08001113]
[ 0.55365049  0.69697047  0.39280264  0.38070462  0.71574343  0.34180237
  0.69147921  0.40654662  0.30695967  0.44482521]
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[ 0.08424705]
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[-0.47891218]
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[ 0.05629949]
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[ 0.3995862]
[ 0.42431875  0.58719742  0.48976007  0.37932089  0.69351356  0.412642
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[ 1.34283608]
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[ 1.5588473]
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[ 0.32304136]
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[ 0.20322109]
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[ 0.59703947]
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[ 0.95315126]
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[ 0.57533348]
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[ 1.05714946]
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[ 1.09709197]
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[ 0.14885726]
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[ 0.65878927]
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[ 1.64211496]
[ 0.45851246  0.6950186   0.3903309   0.42663613  0.54665757  0.35513047
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[ 2.18802414]
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[ 0.12933952]
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[ 0.45490886]
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[ 0.08108294]
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[ 0.47231784]
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[ 0.01236345]
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[ 1.83411923]
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[ 0.038512]
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[ 1.27948928]
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[ 1.69014736]
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[ 0.2893672]
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[ 1.68014796]
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[ 1.99578414]
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[ 0.49313347]
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[ 0.21936575]
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[ 0.30134351]
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[ 0.95728666]
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[ 0.29450206]
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[ 0.28199955]
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[ 1.92957791]
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[ 0.70140773]
[ 0.37836297  0.54898661  0.57754119  0.49328321  0.46635412  0.48863035
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[ 1.17159809]
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[ 0.68745295]
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[ 0.41206613]
[ 0.33311869  0.52898088  0.70018311  0.37672324  0.4630884   0.5326909
  0.52912654  0.45590492  0.42356171  0.50552763]
[ 1.00748895]
[ 0.48454681  0.63451912  0.43167075  0.43412694  0.66749286  0.25237476
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  0.39315152  0.4823443   0.57391612  0.65263255]
[ 1.45370778]
[ 0.24264786  0.33313042  0.75425539  0.52672883  0.20987809  0.68767094
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[ 3.81724402]
[ 0.49342294  0.59255992  0.55290426  0.36085872  0.63208621  0.38175089
  0.57434602  0.48085547  0.36310895  0.45845333]
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[ 0.47143516  0.54212322  0.54279635  0.62714365  0.411351    0.61803409
  0.57255864  0.53972049  0.43688783  0.60363108]
[ 1.65533841]
[ 0.52466047  0.62056606  0.39260284  0.48226158  0.53862804  0.57184648
  0.48225244  0.48853638  0.43126477  0.49914422]
[-1.30918406]
[ 0.59802739  0.69946873  0.54355037  0.43929679  0.65810658  0.31513206
  0.67725788  0.4816759   0.23006426  0.30299546]
[ 0.40276321]
[ 0.59159643  0.73122186  0.35730415  0.45035573  0.77476292  0.40268684
  0.64938787  0.43503871  0.34746318  0.38699167]
[-0.53626658]
[ 0.41839188  0.42621227  0.58800202  0.48829054  0.46120229  0.6405743
  0.56561854  0.69407204  0.60338388  0.63294311]
[ 0.34209515]
[ 0.41479621  0.61054861  0.53940163  0.38784462  0.59575848  0.41333003
  0.50997343  0.42391637  0.4482129   0.54801253]
[-0.08682985]
[ 0.43812316  0.45017642  0.64070152  0.35458306  0.46761042  0.35615008
  0.49367112  0.32779268  0.41234165  0.4496473 ]
[-0.13942794]
[ 0.28808488  0.45688693  0.7556261   0.46293568  0.22700816  0.6517867
  0.44608367  0.59676367  0.67095666  0.5874967 ]
[-0.23458537]
[ 0.39657654  0.57579083  0.58062756  0.46209515  0.52906484  0.39362342
  0.54835229  0.50811061  0.4077889   0.56544545]
Progress: 33.1% ... Training loss: 0.686 ... Validation loss: 1.224[-0.92360648]
[ 0.65438112  0.51026595  0.5202142   0.55920268  0.47688612  0.43446082
  0.53428133  0.51828444  0.45846407  0.43927145]
[ 0.01056204]
[ 0.5331649   0.73961317  0.43755001  0.43822116  0.55966043  0.50294221
  0.42681322  0.50736684  0.46475829  0.53075464]
[-0.63414537]
[ 0.65674271  0.68528563  0.51308835  0.48123206  0.3718103   0.52653402
  0.508839    0.42482109  0.40180472  0.5016048 ]
[ 1.35773855]
[ 0.5653876   0.64949467  0.37441829  0.38359897  0.8061024   0.32906745
  0.57467579  0.33746847  0.34326924  0.28749977]
[-1.13087906]
[ 0.59310309  0.75796937  0.26038229  0.33278076  0.86930086  0.28201705
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[-0.40625903]
[ 0.32771135  0.44356462  0.65255759  0.60594379  0.40386462  0.68209736
  0.41108203  0.66433895  0.55095149  0.53903534]
[ 0.21804611]
[ 0.54361488  0.64090104  0.51193534  0.39664002  0.46053279  0.48632822
  0.52155719  0.52744088  0.4405647   0.68128695]
[ 0.85604657]
[ 0.55683016  0.8303704   0.28351664  0.44625652  0.75790939  0.22484309
  0.67623371  0.35529401  0.31511088  0.32721295]
[-0.17713286]
[ 0.45291611  0.43691484  0.57550105  0.58688413  0.38093933  0.45116484
  0.53591233  0.56742653  0.48931241  0.58165457]
[-0.96349504]
[ 0.4132692   0.6040636   0.48713683  0.48010117  0.49295564  0.37907095
  0.61403954  0.55448293  0.38511601  0.53641305]
[-0.13878564]
[ 0.46742202  0.58604278  0.45538366  0.43571773  0.55787488  0.39437761
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[-0.08330244]
[ 0.33179242  0.32818211  0.64093902  0.55266813  0.19252514  0.57365826
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[-1.13264677]
[ 0.60220762  0.63986592  0.37645969  0.51338848  0.6370478   0.51800784
  0.5501837   0.49193133  0.50826119  0.30530775]
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[ 0.44009543  0.61193147  0.43559978  0.53246782  0.40305895  0.45811603
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[-1.36768995]
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[ 0.36997932  0.62517951  0.6773781   0.46125269  0.3840729   0.5198679
  0.45789372  0.47432281  0.43538188  0.56815225]
[-0.31048036]
[ 0.64175976  0.68282825  0.29391741  0.46523055  0.77932666  0.33865975
  0.64979413  0.32125105  0.33276099  0.37820885]
[-0.33849255]
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[-0.52028875]
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  0.54995295  0.5653695   0.57691306  0.68833646]
[ 0.54016446]
[ 0.40992052  0.57539612  0.45475413  0.43538475  0.49884805  0.4196274
  0.55651972  0.56834834  0.47652193  0.51752432]
[-0.48262762]
[ 0.48900516  0.45968387  0.61708894  0.54530629  0.35464004  0.63093655
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[ 0.37727349  0.57788259  0.62193415  0.44932191  0.28767982  0.52149297
  0.5795947   0.69997287  0.54388336  0.6928213 ]
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[ 0.43517393  0.46680426  0.58815358  0.57098855  0.29753972  0.53458097
  0.52536908  0.80398178  0.71922391  0.58247581]
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[ 0.74593133]
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[ 0.97832064]
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[ 0.43712582]
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[ 0.07852257]
[ 0.66596873  0.81627573  0.26666729  0.38973527  0.80726023  0.24290707
  0.71432705  0.31575432  0.17597579  0.29428423]
[ 0.02678872]
[ 0.4886739   0.47274717  0.56741655  0.42281981  0.47248094  0.56158668
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[ 0.13820563]
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[ 0.58087652]
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[ 0.29169794]
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[ 0.07144687]
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[ 0.26951522]
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[ 0.11735376]
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[ 0.05083406]
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[ 0.76981753]
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[ 2.75149124]
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[ 0.63467615]
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[ 0.09910134]
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[ 0.62344465]
[ 0.38973865  0.53038291  0.58634406  0.38848337  0.50595794  0.33401624
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[ 1.82169119]
[ 0.5743516   0.7305343   0.44841072  0.35849797  0.77019233  0.25034741
  0.61833064  0.36872555  0.26275645  0.33786482]
[-0.34700981]
[ 0.34944001  0.41778254  0.70302477  0.47269268  0.21323889  0.42918226
  0.66999278  0.50837248  0.47055334  0.54776902]
[ 0.00497298]
[ 0.46285936  0.5546537   0.5010134   0.49513165  0.3863049   0.50701128
  0.56238648  0.5150326   0.47806194  0.52189606]
[-0.49515559]
[ 0.44280231  0.57813409  0.49792146  0.59659332  0.49955743  0.43963811
  0.55025464  0.5664783   0.48664103  0.5864085 ]
[-0.2350201]
[ 0.36429638  0.28420983  0.7438563   0.49837366  0.24753337  0.43040122
  0.45411387  0.61636293  0.50040863  0.65977731]
Progress: 33.4% ... Training loss: 0.686 ... Validation loss: 1.227[-0.28001135]
[ 0.5119039   0.50691909  0.65381336  0.56367057  0.20849943  0.52851231
  0.56839241  0.67610253  0.50108017  0.59135679]
[-0.85392187]
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[-0.39546922]
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  0.50313214  0.40358068  0.45722566  0.39935243]
[-0.74066326]
[ 0.41740739  0.52220515  0.55091293  0.44460802  0.70000754  0.2817288
  0.64482129  0.48745241  0.3780425   0.39623971]
[ 1.19431599]
[ 0.49459451  0.60153669  0.38877586  0.47977546  0.66286277  0.46699139
  0.51032861  0.48539014  0.49496361  0.4947633 ]
[ 0.65327447]
[ 0.51795786  0.58716316  0.50268648  0.4370182   0.38689529  0.45263455
  0.50037656  0.57468522  0.51373117  0.62419849]
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[ 1.81910345]
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  0.59979515  0.37273229  0.28189148  0.40310635]
[ 0.57605676]
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  0.49771891  0.52094173  0.51267297  0.63631498]
[ 1.02645079]
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  0.46171984  0.417354    0.51828258  0.42474314]
[ 1.43594185]
[ 0.48744361  0.69665307  0.64316876  0.3721531   0.51301536  0.42586957
  0.47228188  0.48059674  0.31092655  0.4776151 ]
[ 0.38447494]
[ 0.53050569  0.51297503  0.59194639  0.42798987  0.41591824  0.55163599
  0.60354324  0.67270471  0.44064698  0.64812346]
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  0.63712411  0.42943459  0.44600417  0.33089478]
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[ 0.36087574  0.50960029  0.65967047  0.58150776  0.41234685  0.65593343
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[ 3.01061015]
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  0.51102073  0.47820712  0.4869539   0.43215229]
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  0.52449505  0.55951139  0.52476261  0.63206549]
[ 0.0684056]
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  0.70316412  0.30213457  0.22376678  0.37600855]
[-0.37878015]
[ 0.40180907  0.59807255  0.50349193  0.52383822  0.42629637  0.42066469
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[ 0.37938831  0.49021658  0.64004408  0.41715782  0.49195571  0.51618424
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[-0.60073237]
[ 0.4918527   0.45994603  0.55356688  0.51815841  0.41220349  0.57299268
  0.37539686  0.50499913  0.54786751  0.56455791]
[ 1.09997178]
[ 0.51078092  0.7037144   0.49878844  0.3769864   0.45179001  0.46410046
  0.49571118  0.66826797  0.42889255  0.57539675]
[-0.68064602]
[ 0.47848668  0.56777537  0.47557801  0.56121282  0.63057054  0.37333525
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[-0.21998145]
[ 0.58504317  0.54395686  0.39331982  0.41523839  0.62592082  0.27082189
  0.68928067  0.34092448  0.35540155  0.45599639]
Progress: 33.7% ... Training loss: 0.684 ... Validation loss: 1.208[ 1.08945771]
[ 0.56615857  0.61317886  0.41577203  0.41374653  0.76365822  0.36152076
  0.54262367  0.42334375  0.48200334  0.41436301]
[ 0.41089311]
[ 0.58050233  0.63247112  0.48234821  0.42464226  0.5858403   0.4657435
  0.43625797  0.34897619  0.51970841  0.51559687]
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  0.52858073  0.38661299  0.3843266   0.44619521]
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[ 0.35250884  0.51037502  0.5364774   0.55399186  0.40183947  0.62558563
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[ 0.24663905]
[ 0.37112312  0.59825842  0.46813965  0.42330179  0.6303337   0.34082154
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[ 0.63261516]
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[ 1.34379114]
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[ 0.6421044]
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[ 0.61091522]
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[ 1.59386904]
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[ 1.15435491]
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[ 0.62351759]
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[ 0.95635925]
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[ 0.28381431]
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[ 0.59108585]
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[ 0.16697392]
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[ 0.02321925]
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[ 1.03555176]
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[ 0.25247828]
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[ 0.50763751]
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[ 2.86324426]
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[ 1.60168197]
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[ 0.53457742]
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[ 0.42181501]
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[ 0.92897416]
[ 0.55779765  0.66292476  0.39878541  0.56257046  0.4739572   0.43690574
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[ 0.55417325]
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[ 1.53219186]
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[ 0.91698376]
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[ 0.86016324]
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[ 1.92363381]
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[ 0.77633014]
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[ 0.24522954]
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[ 0.08852109]
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[ 0.92290739]
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[ 0.28814489  0.3849717   0.62281605  0.59835616  0.42050627  0.70977109
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[-0.75429705]
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[-0.27365207]
[ 0.36563725  0.37853815  0.62192229  0.56528753  0.45143791  0.61989559
  0.43063858  0.66909926  0.64621123  0.61555071]
[ 2.20604096]
[ 0.48020853  0.63393131  0.38606448  0.41123325  0.76802502  0.24564636
  0.57654917  0.53624672  0.38565767  0.41310361]
[-0.40748463]
[ 0.59463841  0.82211213  0.22975971  0.39457095  0.85521844  0.37336494
  0.64864284  0.22920053  0.18097993  0.26807204]
[ 0.06443247]
[ 0.46677237  0.66040105  0.50165521  0.43326919  0.60929059  0.4457359
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[-0.25816872]
[ 0.66792172  0.60413717  0.43630353  0.48330754  0.53883229  0.32242712
  0.632273    0.4784327   0.3822011   0.51946301]
Progress: 34.0% ... Training loss: 0.683 ... Validation loss: 1.195[-0.55622822]
[ 0.66314511  0.73437228  0.30897938  0.38616302  0.7127761   0.46223165
  0.59000715  0.335098    0.36192758  0.41516508]
[ 0.73932901]
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  0.59508452  0.64928563  0.48743603  0.53842531]
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  0.57376844  0.39879844  0.39903452  0.43693907]
[-1.01435731]
[ 0.47344202  0.5701933   0.56825804  0.38783822  0.55055775  0.55208888
  0.45575759  0.419555    0.52625634  0.42145019]
[ 2.03528543]
[ 0.60470311  0.50652851  0.60956401  0.45576421  0.48160726  0.32167576
  0.55302744  0.61157494  0.41297648  0.45549178]
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[ 0.63674707  0.55547258  0.48251922  0.54617014  0.47184432  0.39278527
  0.59043045  0.54639221  0.42998744  0.49254233]
[ 0.2646324]
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  0.61486953  0.47712767  0.33712325  0.28822786]
[-0.42675102]
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[ 0.48284266  0.57741243  0.45114662  0.57495967  0.3375015   0.54124207
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[ 2.20106109]
[ 0.40370898  0.49450741  0.62036983  0.44915623  0.54278707  0.46405703
  0.54665056  0.59004522  0.3463284   0.31441924]
[-0.67786319]
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[ 0.02268135]
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[ 0.31615311]
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[-0.68495043]
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  0.49203797  0.5393824   0.46959208  0.57918148]
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[ 0.3984104   0.48405409  0.65252994  0.61159827  0.42908656  0.63883747
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[-0.45549476]
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[-0.66524748]
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[ 0.05727329]
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[ 0.44995486]
[ 0.57144304  0.64682121  0.53740665  0.42800596  0.48351995  0.36598348
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[ 0.1317151]
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[ 1.52626921]
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[ 0.05852402]
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[ 0.50114718]
[ 0.36975812  0.59691301  0.50219471  0.37539124  0.45828365  0.49293553
  0.5781652   0.56510942  0.39667307  0.62277864]
[ 0.2901086]
[ 0.60574414  0.54783901  0.52743344  0.4280281   0.57313157  0.36104464
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[ 0.81212802]
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[ 0.89133329]
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[ 0.71463368]
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[ 0.4656708]
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[ 0.51580931]
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[ 1.43731371]
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[ 0.48581809]
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[ 0.0597704]
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[ 0.05354461]
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[ 0.06095206]
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[ 0.13835896]
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[ 1.58739085]
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[ 1.13808381]
[ 0.66060553  0.51089765  0.53897105  0.5263703   0.41121311  0.38968912
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[ 0.08206424]
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[ 0.66414473]
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[ 0.36875996]
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[ 0.68592247]
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[ 0.42429563]
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[ 0.04543975]
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[ 3.01154323]
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[ 3.42044882]
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[ 1.5250664]
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[ 0.5048497   0.73916897  0.47787127  0.30678604  0.53687003  0.3127729
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[ 1.69714733]
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[ 0.14961365]
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[ 0.06665078]
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[ 0.37611297]
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[ 0.30281296]
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[ 0.48404453]
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[ 0.01143074]
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[ 0.47800135]
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[ 0.23652336]
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[ 0.94288787]
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[ 0.38219991  0.47721848  0.74957636  0.43961611  0.40580944  0.43563138
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[-1.04266758]
[ 0.40002628  0.57002316  0.520467    0.48732505  0.61971197  0.4770783
  0.54572285  0.35609205  0.36817305  0.40958713]
[ 0.0798875]
[ 0.57823503  0.79797105  0.34660951  0.34521255  0.70937265  0.36728768
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[ 0.37433644  0.42730463  0.76385648  0.36864768  0.45752082  0.34048887
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[ 0.60555786  0.72660169  0.38764438  0.43767718  0.77036925  0.23771591
  0.64279707  0.38645495  0.35523018  0.34751238]
Progress: 34.3% ... Training loss: 0.682 ... Validation loss: 1.207[-0.41238296]
[ 0.49973854  0.58646908  0.47601814  0.52330788  0.48939383  0.60424339
  0.50657809  0.35014627  0.46052258  0.38245794]
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[ 0.37708155]
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  0.57500581  0.4705466   0.29500035  0.3152934 ]
[ 0.69964663]
[ 0.67100693  0.63326033  0.46636891  0.39476472  0.54994144  0.41229855
  0.45631117  0.48397055  0.34931809  0.46018091]
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[ 0.10206532]
[ 0.56250653  0.76501824  0.43253892  0.36646845  0.8012254   0.31521078
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[ 0.09227755]
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[ 0.0576341]
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[ 0.10844621]
[ 0.44037292  0.5493924   0.54643224  0.40999583  0.38525642  0.3968399
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[ 0.76400892]
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[ 0.00864027]
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  0.7347564   0.37642877  0.31364874  0.30816763]
[ 0.85275686]
[ 0.21718683  0.35864967  0.65421211  0.50069198  0.38624867  0.62098328
  0.4636234   0.50064139  0.54582214  0.62006525]
[-0.57205823]
[ 0.54370823  0.60100825  0.58900065  0.38202724  0.45599854  0.34798326
  0.61034059  0.43758613  0.27640187  0.39783176]
[ 2.71046988]
[ 0.3808721   0.49190932  0.67252065  0.41435207  0.58993981  0.42153729
  0.66180127  0.57089317  0.4043681   0.4243673 ]
[ 1.82803066]
[ 0.34684755  0.51309706  0.58030126  0.40887046  0.47559219  0.59884191
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[-0.62911222]
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[ 0.89210433]
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[ 0.41656097]
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[ 0.03398122]
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[ 2.35975817]
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[ 1.26764152]
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[ 0.45225151]
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[ 0.54522947]
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[ 0.77506283]
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[ 0.17797863]
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[ 1.88448732]
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[ 0.14097758]
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[ 0.03087929]
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[ 1.55027183]
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[ 0.74680598]
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[ 0.49709453]
[ 0.56275298  0.63472453  0.37821964  0.46594797  0.68842382  0.40791191
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[ 2.2470434]
[ 0.65278754  0.79730929  0.41910603  0.32949802  0.7069161   0.2293561
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[ 0.03539909]
[ 0.52007895  0.68156271  0.28370992  0.5091746   0.66422425  0.42126974
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[ 0.57952032  0.73433518  0.37575706  0.28700632  0.68609415  0.3002018
  0.57737009  0.32119806  0.32623073  0.35751353]
Progress: 34.6% ... Training loss: 0.681 ... Validation loss: 1.198[ 0.57471524]
[ 0.46336562  0.68553106  0.39003795  0.44379649  0.68726423  0.43556425
  0.49936661  0.55461675  0.36612198  0.46828812]
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[  7.50626832e-05]
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[ 0.75362963]
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[ 0.86447548]
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[ 0.07929784]
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[ 0.03576299]
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[ 0.73346666]
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[ 2.21636626]
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[ 0.38618575]
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[ 0.84221498]
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[ 0.01196363]
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[ 0.32271586]
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[ 0.97431408]
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[ 1.45825298]
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[ 0.08900665]
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[ 0.98368271]
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[ 1.60374996]
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[ 0.16744569]
[ 0.35715129  0.62510661  0.78625202  0.42706053  0.25512374  0.50047537
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[ 0.20113618]
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  0.54490227  0.39511033  0.47726002  0.45140678]
[ 1.11485799]
[ 0.46696795  0.54095652  0.5683775   0.44682669  0.5292891   0.32611363
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[ 1.66145601]
[ 0.57395114  0.70008303  0.50187875  0.39670973  0.64099046  0.37557631
  0.50151733  0.33387356  0.32888782  0.36894373]
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[ 0.52201056  0.61648833  0.41149958  0.44460709  0.78089101  0.33199942
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[ 2.28127361]
[ 0.60516802  0.8086745   0.45801949  0.36756363  0.52751809  0.33534884
  0.57669607  0.48395102  0.2259757   0.48355188]
[ 1.79339467]
[ 0.3321129   0.54340455  0.69404141  0.47899498  0.62082064  0.51348014
  0.48722088  0.58703394  0.48520832  0.469837  ]
[ 0.00613074]
[ 0.65773952  0.66464206  0.45585735  0.33801513  0.68300188  0.19715209
  0.77549187  0.46418133  0.29588997  0.40837378]
[ 0.67817697]
[ 0.55796613  0.76400977  0.30177327  0.51756712  0.63622571  0.42089715
  0.57789121  0.45487968  0.2986962   0.56882948]
[-0.80206132]
[ 0.65091641  0.51015832  0.56723938  0.57432176  0.46751967  0.4343045
  0.54687497  0.50696832  0.43785858  0.42422331]
[-0.28059687]
[ 0.32304578  0.40761841  0.61618801  0.5727747   0.29853492  0.66104274
  0.4608691   0.69797805  0.61164728  0.6994342 ]
[-0.61312944]
[ 0.67313391  0.71628275  0.31628496  0.39473467  0.77016208  0.37421034
  0.62852191  0.37086148  0.39506509  0.4402449 ]
[ 0.9610194]
[ 0.52222901  0.80591534  0.21809784  0.40838986  0.76025688  0.36643306
  0.67905027  0.34898283  0.30386302  0.3575383 ]
Progress: 34.9% ... Training loss: 0.680 ... Validation loss: 1.195[ 0.20584698]
[ 0.55710913  0.66981308  0.53079295  0.42121482  0.51376954  0.40185074
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[ 0.54693628]
[ 0.64021127  0.62828809  0.38031848  0.44691849  0.68795323  0.43768176
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[ 0.34424522]
[ 0.45870005  0.68064378  0.42736951  0.35657552  0.72972758  0.40466271
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[ 1.46319587]
[ 0.4835755   0.60682263  0.570585    0.32212571  0.61294813  0.45181182
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[ 1.66182196]
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[ 1.38436943]
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[ 1.12755547]
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[ 0.21642563]
[ 0.28457311  0.25212008  0.71928041  0.54332598  0.14114065  0.73840964
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[ 0.26046981]
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[ 0.43717227  0.51550156  0.7093515   0.38969406  0.230439    0.58529111
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[ 0.19796658]
[ 0.38541562  0.54380686  0.63150925  0.38276224  0.47740593  0.62052707
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[-1.02248145]
[ 0.71209029  0.77309402  0.29974541  0.39453641  0.75966058  0.26749794
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[-0.12203086]
[ 0.29876833  0.41335215  0.6809328   0.66147622  0.26656825  0.71036385
  0.3397522   0.70015717  0.66782632  0.65922079]
[ 0.40049604]
[ 0.3257955   0.47611634  0.50595808  0.54889433  0.38219634  0.71938564
  0.39844671  0.57123095  0.56632413  0.66370747]
[-0.79405792]
[ 0.39002559  0.54972697  0.55343363  0.50669987  0.47529663  0.52762999
  0.51196935  0.46819231  0.46233921  0.50695421]
Progress: 35.1% ... Training loss: 0.680 ... Validation loss: 1.183[-0.19577331]
[ 0.43767782  0.39755711  0.69021175  0.59863649  0.19588047  0.65495272
  0.51844725  0.71819047  0.67133389  0.61802121]
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[ 0.64235251  0.6883083   0.4059593   0.45799287  0.5982799   0.41147886
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[ 0.60579441  0.72699181  0.33387052  0.3670594   0.72856111  0.27671176
  0.7086011   0.40695138  0.30580614  0.44023068]
[ 1.95956501]
[ 0.53891306  0.62808849  0.5638676   0.37170109  0.47153457  0.53926056
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[ 0.43308352  0.49311812  0.49772425  0.44632303  0.53837056  0.31370449
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[ 1.27453966]
[ 0.49746241  0.68242854  0.52189959  0.51404881  0.43623509  0.42407197
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[-0.08905769]
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[ 0.89579182]
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[-0.16011373]
[ 0.56437862  0.64329207  0.48620558  0.46043239  0.38688806  0.52583891
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[ 1.29059173]
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[ 0.34892631  0.59389685  0.72293197  0.52194746  0.45771275  0.6071349
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[ 3.4062658]
[ 0.53669634  0.70173778  0.62045405  0.41691641  0.4283317   0.53199849
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[ 0.78406912]
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  0.59679151  0.24898009  0.28446585  0.31457939]
[ 1.57801739]
[ 0.46088001  0.69782902  0.38839119  0.42381644  0.55107433  0.35345112
  0.67612594  0.63233027  0.39595379  0.39336126]
[ 0.13002074]
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[ 0.06511819]
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[ 1.25278597]
[ 0.48346326  0.68295679  0.49835039  0.405024    0.67248242  0.47678493
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[ 0.03804907]
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[ 0.71809593]
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[ 1.34118189]
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[ 0.20613472]
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[ 1.43536878]
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[ 0.72520674]
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[ 0.97361652]
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[ 3.04317315]
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[ 0.27041206]
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[ 0.27982153]
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[ 0.58481258]
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[ 0.9502016]
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[ 1.27453966]
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[ 0.01044953]
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[ 2.25220036]
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[ 0.13429858]
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[ 1.27695519]
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[ 1.3778672]
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[ 0.00978672]
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[ 0.48475562]
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[ 0.72536847]
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[ 1.58191564]
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[ 0.88248126]
[ 0.59728648  0.75271363  0.45914804  0.36293807  0.73925904  0.25838646
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[ 0.69154839]
[ 0.51920442  0.53079709  0.57196741  0.4368344   0.53808276  0.36751605
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[ 0.30091436]
[ 0.52086657  0.59941001  0.52079189  0.44953912  0.37622829  0.52359659
  0.44884571  0.49034698  0.50304572  0.60024694]
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[ 0.36739859  0.55827177  0.56875414  0.66128047  0.17273019  0.75501067
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[ 0.44562545  0.53557159  0.42983751  0.4938817   0.43871926  0.61937883
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[ 1.0785762]
[ 0.49954995  0.6704772   0.40262206  0.37657225  0.73861608  0.32311848
  0.63387855  0.48241656  0.41161479  0.41285223]
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  0.59712883  0.45285391  0.42197519  0.38161128]
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[ 0.30706718]
[ 0.69696627  0.84885217  0.27134371  0.3585788   0.84157184  0.24585643
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[ 0.47901988  0.56857166  0.47510751  0.56062815  0.63138221  0.37299135
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[ 0.03717478]
[ 0.41887862  0.56110602  0.50267512  0.3757938   0.54713674  0.55365306
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[ 0.00976358]
[ 0.65027585  0.69626509  0.45138609  0.46865264  0.4748063   0.45180234
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[ 0.32126991  0.3240314   0.68341387  0.56993989  0.27992697  0.45649453
  0.54683585  0.67166872  0.58105842  0.61405106]
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[ 0.51036306  0.67112072  0.48051554  0.43605358  0.53779282  0.36646919
  0.67002853  0.39092963  0.2967514   0.42341889]
[ 1.64956364]
[ 0.27528374  0.50200287  0.72938087  0.43866394  0.44614904  0.48300375
  0.39673538  0.58333002  0.54112584  0.64575861]
[-0.78105201]
[ 0.47554458  0.57903065  0.45130022  0.63057414  0.40466428  0.54405196
  0.60306577  0.6776123   0.50369582  0.52363168]
[-0.05780938]
[ 0.45825024  0.52855836  0.61167511  0.36085483  0.51102615  0.42446116
  0.55277686  0.47894595  0.49145652  0.56083545]
[-0.07760395]
[ 0.45303744  0.52264049  0.51421391  0.61310087  0.44471662  0.48857935
  0.563844    0.58326811  0.4614011   0.59011517]
[-0.66165299]
[ 0.42286668  0.44732757  0.58270835  0.48786541  0.48843746  0.50660893
  0.47624089  0.46056099  0.5014033   0.51403068]
Progress: 35.4% ... Training loss: 0.679 ... Validation loss: 1.189[ 0.01438265]
[ 0.43401883  0.4282873   0.67864259  0.46794877  0.40247136  0.58094661
  0.4976282   0.50866723  0.49278232  0.56952386]
[ 1.89111371]
[ 0.46622073  0.68020619  0.45205824  0.41063667  0.70449606  0.29846574
  0.63245882  0.46269763  0.3221284   0.4003849 ]
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[ 0.32834979  0.45586211  0.55594128  0.45774547  0.41750651  0.50095176
  0.43195409  0.57074078  0.59040978  0.61141036]
[-0.77009838]
[ 0.47392351  0.65112106  0.40803706  0.54176599  0.41901349  0.5346289
  0.60355532  0.67392903  0.50758427  0.42582529]
[ 3.17076651]
[ 0.3445224   0.52824186  0.64257052  0.38544409  0.42223423  0.54998683
  0.43415011  0.55154297  0.57471505  0.43317594]
[ 0.53894742]
[ 0.33724092  0.52063665  0.70157116  0.45723207  0.35603593  0.59674668
  0.40413945  0.6400775   0.54419865  0.59478382]
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[ 0.38393551  0.49793092  0.72565245  0.4122753   0.44271358  0.55342983
  0.42913985  0.64629239  0.60042653  0.65087884]
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  0.58674929  0.63626938  0.45991994  0.59062   ]
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[ 0.47767455  0.62874849  0.44178535  0.38536915  0.53228596  0.46714137
  0.61171417  0.45194864  0.33967566  0.52048602]
[ 2.15395446]
[ 0.36101279  0.44943194  0.63866047  0.44805207  0.37140098  0.52663434
  0.57157341  0.6513496   0.6234544   0.35584363]
[ 0.8065822]
[ 0.36056934  0.44954067  0.70820159  0.52828404  0.20820512  0.67230797
  0.36871501  0.6655075   0.52352321  0.57956494]
[ 0.59222175]
[ 0.66683373  0.77357224  0.28039528  0.49188563  0.74612512  0.33137609
  0.54067734  0.4699524   0.32549735  0.39631604]
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  0.54874555  0.38307111  0.49468666  0.35269939]
[-0.68212693]
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[ 0.44001431  0.49855955  0.60915923  0.48568222  0.39680143  0.46242561
  0.67542094  0.73001673  0.59954702  0.47074154]
[ 2.13836803]
[ 0.58961884  0.73755084  0.42873952  0.32127428  0.6636936   0.45076904
  0.51656492  0.34142207  0.25429085  0.42283673]
[ 1.08074919]
[ 0.53466885  0.72964358  0.42571736  0.44991004  0.45500863  0.40052263
  0.67680828  0.6222706   0.31537155  0.41169091]
[ 0.11944372]
[ 0.32109208  0.46979062  0.50914281  0.47741735  0.4010134   0.52981217
  0.46595542  0.5255011   0.5617508   0.5600695 ]
[ 0.06902609]
[ 0.59514877  0.76445997  0.45771264  0.33727669  0.73500069  0.21185167
  0.77407219  0.35004267  0.25730401  0.29088859]
[-0.07083546]
[ 0.43538363  0.55009441  0.57274994  0.45099263  0.54786348  0.47492736
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[-0.07226212]
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  0.409362    0.62145001  0.50430976  0.67420942]
[ 1.09730813]
[ 0.4837691   0.60581835  0.4456452   0.42174002  0.70322207  0.24543612
  0.65912982  0.38185241  0.37793662  0.38392242]
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  0.58027709  0.44663653  0.42712203  0.40997866]
[ 0.8702501]
[ 0.41908157  0.66725212  0.48344745  0.31190391  0.77857909  0.35708603
  0.52412595  0.37876537  0.34447044  0.43619336]
[ 0.06857337]
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  0.41228127  0.66964364  0.73700515  0.5958887 ]
[ 0.83683558]
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[-0.5019739]
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[-0.92555729]
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[ 0.76330206]
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[ 2.11897641]
[ 0.52669046  0.7201723   0.42344021  0.37901551  0.71488302  0.29463966
  0.58922807  0.41616148  0.24971586  0.35101571]
[ 1.82624584]
[ 0.42539429  0.59535999  0.61364075  0.3159546   0.54700578  0.50064676
  0.43994422  0.50183372  0.52435116  0.4897644 ]
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  0.68005437  0.48395014  0.3682182   0.29207472]
[ 0.7645379]
[ 0.45860734  0.61845075  0.55385842  0.4321158   0.48811835  0.44336575
  0.60048087  0.3509312   0.46890711  0.28261801]
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[ 0.53086302  0.55699272  0.51179686  0.49765091  0.43659697  0.52861177
  0.5978727   0.70073207  0.50915283  0.60963141]
[ 2.99658481]
[ 0.48602852  0.71114464  0.44667959  0.3573722   0.67043374  0.35928467
  0.58416408  0.52159707  0.2413664   0.38300194]
[ 1.87792419]
[ 0.53421588  0.73840777  0.3521608   0.39298495  0.82954883  0.28296424
  0.60385543  0.5056466   0.34842234  0.33795458]
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[ 0.48268248  0.57675721  0.45126943  0.57516059  0.33703181  0.54150983
  0.63690383  0.70893479  0.59063624  0.58625596]
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[ 0.53622884  0.6239471   0.42195441  0.46522354  0.65187684  0.31504266
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[ 1.12247686]
[ 0.52818449  0.55202702  0.42113391  0.42612902  0.64984174  0.24923885
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  0.38458064  0.65064786  0.5469215   0.58948247]
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[ 0.6149791   0.64651032  0.50323128  0.41863305  0.5076716   0.29909721
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[ 0.5383492]
[ 0.54771386  0.74500284  0.29724173  0.48269052  0.66074389  0.40147632
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[ 1.04108632]
[ 0.46182564  0.6323347   0.51465907  0.33684818  0.54819302  0.36470531
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[ 2.13739532]
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[ 0.12078023]
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[ 0.89053747]
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[ 0.10080994]
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[ 2.38001027]
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[ 1.3367595]
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[ 0.398222    0.58306493  0.79129847  0.48447405  0.26412825  0.53461133
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[ 0.38595964  0.28269578  0.75652367  0.53339303  0.21104814  0.47484288
  0.43780132  0.61154648  0.55424987  0.6168978 ]
[-0.84487347]
[ 0.47016854  0.54563967  0.58995165  0.45200823  0.57049379  0.29337597
  0.52417218  0.56831428  0.38592478  0.38040605]
[ 0.30115477]
[ 0.51419094  0.66673837  0.48407343  0.47277404  0.73409807  0.50071877
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[ 0.39785773  0.59627458  0.55456932  0.46848684  0.59735367  0.31558202
  0.63303455  0.66649815  0.3982419   0.54016032]
Progress: 35.7% ... Training loss: 0.678 ... Validation loss: 1.176[ 0.57716491]
[ 0.48052889  0.60501891  0.61874869  0.46718439  0.39424152  0.51706218
  0.51161804  0.61887108  0.47129299  0.4687905 ]
[-0.15296088]
[ 0.36490816  0.46701175  0.66378623  0.51050492  0.19782413  0.6359035
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[ 0.39648812  0.5087154   0.60316796  0.50040479  0.49197187  0.45470656
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[ 0.01262476]
[ 0.45888053  0.66496376  0.3665613   0.48336613  0.48805593  0.26662528
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[ 0.5781925]
[ 0.49673151  0.61890874  0.51575245  0.42631509  0.48164721  0.39427051
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[ 2.07450127]
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[ 0.39367556]
[ 0.29772049  0.54614512  0.59478851  0.44100407  0.37961654  0.58948782
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[ 0.79436112]
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  0.66861996  0.43976631  0.27704847  0.47683426]
[-0.03886364]
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[ 2.46819215]
[ 0.57842936  0.78428206  0.25985471  0.33617285  0.76764466  0.25933386
  0.6853122   0.52693817  0.23760968  0.36373096]
[ 1.14170997]
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  0.70214674  0.39296934  0.41647848  0.35988138]
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  0.59501973  0.32826306  0.32193771  0.35075999]
[ 1.31925605]
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  0.50936302  0.49679292  0.47550528  0.44676496]
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[ 2.39417778]
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[ 0.49725892]
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[ 1.45361797]
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[ 1.59040863]
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[ 1.73374392]
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[ 0.90404262]
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[ 0.97021551]
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[ 0.98198971]
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[ 0.54352266  0.59668961  0.54880537  0.4405085   0.40463979  0.53231123
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[ 0.2969568]
[ 0.65520268  0.68904193  0.33575951  0.43613133  0.72261195  0.27339127
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[ 0.36588708  0.37308395  0.74408251  0.52055797  0.1645922   0.69316773
  0.43745218  0.61077167  0.63093311  0.73657147]
Progress: 36.0% ... Training loss: 0.677 ... Validation loss: 1.178[ 0.65024977]
[ 0.39742956  0.48622441  0.51184868  0.54561717  0.28870944  0.63326374
  0.53523292  0.71360536  0.62591569  0.50518852]
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[ 1.55896539]
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[ 0.23939129]
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[ 0.00929047]
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[ 1.74741093]
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[ 1.42246735]
[ 0.55720292  0.71923139  0.36491302  0.26275765  0.7545157   0.16597039
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[-0.4689444]
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  0.55018129  0.45150864  0.36344953  0.52257287]
[ 0.0885775]
[ 0.36187889  0.3749387   0.77091145  0.58907295  0.11700843  0.75125376
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[ 0.03539954]
[ 0.34434256  0.34364964  0.72564428  0.44701578  0.22854509  0.51481941
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[-1.13435233]
[ 0.54255497  0.50074882  0.55636673  0.45838661  0.63313637  0.37458183
  0.52768656  0.56002479  0.49827796  0.25995889]
Progress: 36.3% ... Training loss: 0.676 ... Validation loss: 1.184[-0.05532127]
[ 0.37541934  0.54969265  0.74638222  0.42438364  0.24976426  0.62609428
  0.43529795  0.54922331  0.52336935  0.66427462]
[ 0.75732708]
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[-0.2206632]
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[ 1.22129873]
[ 0.5436128   0.739735    0.33637158  0.52736009  0.60346721  0.43771615
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[ 0.07018151]
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[ 1.73998947]
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[ 1.81309818]
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[ 0.02069833]
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[ 1.05498945]
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[ 1.16800437]
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[ 1.49580525]
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[ 0.94826253]
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[ 0.40683905]
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[ 1.86692189]
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[ 0.0916394]
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[ 0.52696258]
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[ 0.87486593]
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[ 0.05051901]
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[ 1.14379493]
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[ 0.34086288]
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[ 0.65933165]
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[ 0.55885761]
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[ 1.54078412]
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[ 0.23014168]
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[ 0.56602054]
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[ 0.02272134]
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[ 1.67945674]
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[ 0.82126479]
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[ 0.39025602]
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[ 1.66377289]
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[ 0.74299424]
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[ 0.41085539]
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[ 0.53680126]
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[ 0.20291264]
[ 0.47181986  0.58585292  0.70646293  0.30823     0.46066284  0.44769201
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[ 1.94500576]
[ 0.60298613  0.79525399  0.31830051  0.38955462  0.5906862   0.3674672
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[ 0.06296031]
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[ 0.19212491]
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[ 0.38915597  0.6057632   0.44624009  0.58861341  0.44088638  0.39627393
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[ 0.7633689]
[ 0.48714493  0.49990132  0.41668317  0.47948772  0.47755418  0.3745454
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[ 0.00380196]
[ 0.26562594  0.46107872  0.71057216  0.39871395  0.28978679  0.67366842
  0.40209761  0.61802832  0.60931871  0.61138431]
[-1.38396466]
[ 0.6024615   0.70497853  0.53961851  0.43399792  0.66542554  0.31212835
  0.68013141  0.4777209   0.22617923  0.29839102]
[-0.35194048]
[ 0.39461236  0.44153427  0.61963801  0.63791156  0.3162132   0.64357867
  0.43133408  0.70057432  0.63747825  0.56961671]
[ 1.22871109]
[ 0.56913855  0.63124866  0.41444417  0.45979587  0.53948222  0.41670291
  0.66781119  0.62453027  0.41285766  0.46126204]
[ 0.40761286]
[ 0.64751557  0.78566613  0.3402851   0.30014334  0.85058855  0.14594518
  0.75446113  0.35890269  0.15735584  0.30288073]
[ 2.35731923]
[ 0.3075532   0.47076729  0.63177848  0.40472497  0.41654725  0.53989566
  0.42645131  0.51075608  0.5349375   0.63832923]
Progress: 36.6% ... Training loss: 0.676 ... Validation loss: 1.160[-1.18846595]
[ 0.49142618  0.71256308  0.48088268  0.43090308  0.50088372  0.42752523
  0.53919967  0.50904466  0.37406754  0.54048962]
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[ 0.49648245  0.65497125  0.65940636  0.34361316  0.42828541  0.44437072
  0.5443884   0.55230683  0.46763931  0.50525469]
[ 1.05215997]
[ 0.43266325  0.55886536  0.61161642  0.46642026  0.2857245   0.42574534
  0.59786662  0.66123527  0.44798188  0.67527464]
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[ 0.5704264   0.64224053  0.35799569  0.34262579  0.69716563  0.35129777
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[ 1.47232801]
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[ 0.32063036  0.43707108  0.6971372   0.62509839  0.38676922  0.68505104
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[ 0.51148116]
[ 0.63448544  0.76349411  0.35536582  0.38518725  0.80963058  0.34992577
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[ 0.5556727]
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[ 0.61442056]
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[ 0.45807264]
[ 0.41408838  0.58127781  0.45125815  0.43043181  0.50698955  0.41630766
  0.55951872  0.56467832  0.47118754  0.51232634]
[ 1.43301915]
[ 0.54727063  0.73712855  0.42394622  0.33400223  0.65187773  0.27601904
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[ 1.34990014]
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[ 1.01870007]
[ 0.59164225  0.68462308  0.39998541  0.34549736  0.71927103  0.31105451
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[ 0.29297951]
[ 0.39572745  0.54754849  0.51025636  0.48542295  0.45355937  0.44155476
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[ 3.24646372]
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[ 3.56349738]
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[ 2.07570201]
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[-1.11601207]
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  0.61915114  0.53716847  0.4219432   0.46659937]
[-0.79725055]
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[ 0.33069067]
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[ 0.52298505]
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[ 1.08000071]
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[ 0.80827786]
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[ 0.39833705]
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[ 1.16872137]
[ 0.5636579   0.77486066  0.32849464  0.33831339  0.81884064  0.28854512
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[ 2.53896489]
[ 0.62410867  0.77742219  0.30741318  0.26019934  0.85487321  0.1991221
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[ 2.80572783]
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[ 2.2487379]
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[ 1.23995381]
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[ 1.6736228]
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[ 1.3705401]
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[ 1.22772027]
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[ 0.94417113]
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[ 0.76045328]
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[ 0.44978801  0.58652716  0.51877416  0.44148518  0.4864615   0.44096039
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[ 0.03332002]
[ 0.46449067  0.48068847  0.75631966  0.54053992  0.16498209  0.69429236
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[ 0.25264132]
[ 0.39816515  0.59315291  0.49988416  0.42600499  0.46433044  0.4465476
  0.55430583  0.54970216  0.51185001  0.51207588]
Progress: 36.9% ... Training loss: 0.676 ... Validation loss: 1.152[ 0.66469738]
[ 0.51223428  0.59604406  0.423121    0.42102641  0.70976167  0.32764057
  0.62703103  0.50478734  0.38050114  0.45027021]
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[ 2.89451647]
[ 0.64225712  0.73000046  0.40596516  0.36102118  0.70371679  0.33203172
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[ 0.36541295]
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[ 0.32986648]
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[ 0.19210215]
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[ 0.39607198]
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[ 0.0424]
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[ 1.3719805]
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[ 0.64357888]
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[ 0.74847661]
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[ 1.81957213]
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[ 0.38640247]
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[ 1.95487908]
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[ 0.67659273]
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[ 1.63511519]
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[ 2.14319354]
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[ 0.63622608  0.79787274  0.3396208   0.51980076  0.69986433  0.5231544
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[ 0.24136139]
[ 0.27837148  0.20948708  0.70910455  0.61359258  0.13951373  0.5902144
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[ 0.51576315]
[ 0.47552184  0.63946746  0.53713802  0.4195314   0.59386004  0.44614152
  0.52263416  0.55617352  0.29469681  0.39770336]
Progress: 37.1% ... Training loss: 0.674 ... Validation loss: 1.165[-1.39405426]
[ 0.5552485   0.55238606  0.49197136  0.43674637  0.68913181  0.38270849
  0.61561202  0.3571221   0.42930249  0.24870307]
[ 3.00761609]
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[ 0.31019861]
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[ 0.19979799]
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[ 1.59412997]
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[ 0.06600343]
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[ 1.23920313]
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[ 0.19631248]
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[ 0.02068765]
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[ 0.9229977]
[ 0.53352772  0.73573578  0.44758443  0.40507491  0.5130021   0.39340566
  0.72262995  0.62768143  0.26858021  0.53256108]
[ 1.14317299]
[ 0.45115997  0.52821158  0.452336    0.54447946  0.53760772  0.51246347
  0.48317558  0.54062443  0.60175959  0.52878181]
[-0.43588648]
[ 0.52047269  0.56840657  0.55470496  0.49191745  0.38745761  0.47296547
  0.57044359  0.74846155  0.53042595  0.5272652 ]
[ 1.689327]
[ 0.44450655  0.72350589  0.32992113  0.36525227  0.65824757  0.41587754
  0.62644771  0.62574813  0.35052348  0.45149249]
[-0.34285867]
[ 0.51546365  0.55238755  0.56619784  0.54239778  0.23043724  0.54869755
  0.53409675  0.65462119  0.55194515  0.62631398]
[-0.38592707]
[ 0.31086116  0.52545536  0.6788213   0.54097985  0.32110113  0.64627457
  0.4263622   0.59169721  0.47906623  0.53132954]
[ 3.70586563]
[ 0.62001808  0.68722547  0.4416841   0.30794301  0.7582148   0.25082485
  0.62993222  0.55908085  0.3365781   0.34980604]
Progress: 37.4% ... Training loss: 0.677 ... Validation loss: 1.136[ 0.01182763]
[ 0.35180906  0.46510676  0.61124173  0.64183073  0.26489581  0.64200615
  0.36230149  0.75622855  0.69605747  0.67245396]
[-1.34786428]
[ 0.66432008  0.62183627  0.39749719  0.53265503  0.56726995  0.46729908
  0.63960929  0.37059456  0.3765018   0.41124441]
[ 3.2051925]
[ 0.5636796   0.70323275  0.52389153  0.35969825  0.59943521  0.30356921
  0.46523496  0.51624514  0.3767426   0.39147165]
[-0.73510136]
[ 0.37229784  0.46646739  0.62529988  0.49396666  0.55641149  0.66855546
  0.57689672  0.72540522  0.5362527   0.57935032]
[ 2.30032504]
[ 0.63471931  0.68690281  0.47453438  0.40426968  0.59575871  0.43913367
  0.59514018  0.37183817  0.31356997  0.43718139]
[ 0.02096856]
[ 0.36943057  0.52301639  0.67172368  0.29569685  0.42951669  0.45236142
  0.51173495  0.57024731  0.53451604  0.56000091]
[ 2.49342416]
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  0.58156668  0.47136866  0.43269436  0.36875074]
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[ 0.11234708]
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[ 0.34229291]
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[ 0.34573299]
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[ 0.11664871]
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[ 0.21921151]
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[ 0.49843932]
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[ 0.04432398]
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[ 0.1632583]
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[ 0.50449458]
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[ 0.57090754]
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[ 1.52550847]
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[ 1.30687744]
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[ 1.28664182]
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[ 3.09561076]
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[ 0.12597853]
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[ 0.08858108]
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[ 0.50330885]
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[ 0.08713647]
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[ 1.18281142]
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[ 0.2566328]
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[ 1.87591996]
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[ 0.00527335]
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[ 0.46944069  0.55523094  0.62251261  0.48718016  0.55644895  0.40326465
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[ 0.25443334]
[ 0.3889067   0.47822052  0.6338285   0.557305    0.19999741  0.64184577
  0.43471568  0.69256467  0.651412    0.64953208]
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[ 0.35603307  0.39910182  0.57715643  0.60793585  0.30879217  0.69669385
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[ 0.62531379  0.58984415  0.44505013  0.50457764  0.55773875  0.50991479
  0.52389272  0.54547613  0.56749722  0.33297059]
Progress: 37.7% ... Training loss: 0.673 ... Validation loss: 1.155[ 0.01418545]
[ 0.41936033  0.56220146  0.50223325  0.3751867   0.54825933  0.55314394
  0.40899038  0.436339    0.56085339  0.50954986]
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[ 2.35356939]
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[ 0.19096349]
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[ 0.04670477]
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[ 0.22051375]
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[ 1.71312068]
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[ 0.25409972]
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[ 0.50404681]
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[ 1.78104231]
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[ 0.05956025]
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[ 0.11151388]
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[ 1.23583212]
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[ 0.57871383]
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[ 0.90040668]
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[ 0.47093641]
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[ 0.79087214]
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[ 1.05545862]
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[ 0.18864911]
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[ 0.24871957]
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[ 1.93322457]
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[ 0.24994454]
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[ 1.02673106]
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[ 1.88227035]
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[ 0.18820647]
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[ 0.03299529]
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[ 0.60736267]
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[ 0.10978737]
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[ 0.51477466]
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[ 0.75853267]
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[ 0.59684226]
[ 0.50913587  0.68512953  0.47111876  0.39949299  0.59310894  0.3809739
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[ 0.29385193]
[ 0.32291546  0.48371832  0.64690698  0.56889731  0.27380867  0.68859865
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[-0.55481805]
[ 0.38724249  0.64944456  0.46623526  0.46822026  0.52429219  0.46405445
  0.55300439  0.61336432  0.50580249  0.49276993]
[ 2.00657854]
[ 0.37033085  0.51918923  0.58518452  0.46535621  0.61625296  0.50492525
  0.5495328   0.54813424  0.5093069   0.52903352]
[ 1.3227979]
[ 0.61780983  0.66338291  0.52536828  0.34709729  0.61654668  0.36974897
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[-0.47270331]
[ 0.34156546  0.52728927  0.62147451  0.61049769  0.3858149   0.6835721
  0.46084563  0.70739902  0.51840401  0.51980965]
Progress: 38.0% ... Training loss: 0.672 ... Validation loss: 1.170[-0.65906351]
[ 0.40587134  0.45414171  0.7102999   0.39612493  0.43611005  0.55981409
  0.44771091  0.47790807  0.51329446  0.61130182]
[ 1.36993947]
[ 0.54968421  0.56437073  0.5797878   0.30315995  0.65921499  0.30410272
  0.53652801  0.49739679  0.41579782  0.5307554 ]
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  0.46184831  0.3964875   0.41699912  0.40665579]
[ 1.32891296]
[ 0.57470976  0.65801305  0.3645731   0.38199555  0.75097763  0.26001605
  0.58319053  0.30973904  0.35906447  0.39248397]
[-1.13963834]
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[ 0.47545278  0.44219653  0.670647    0.40773855  0.53187373  0.41955946
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[ 0.12598928]
[ 0.50948844  0.5503201   0.5483997   0.44822328  0.5213147   0.57184077
  0.59657857  0.63935628  0.56931879  0.61485188]
[ 0.12109462]
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  0.49103034  0.67383561  0.40025399  0.5513752 ]
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[ 0.08407466]
[ 0.55177267  0.79113444  0.32960921  0.34055106  0.81047774  0.40261848
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[ 2.08194073]
[ 0.46953109  0.84267913  0.40565442  0.40127597  0.67625031  0.35784854
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[ 0.58261877  0.65980065  0.4795656   0.47317389  0.46187116  0.44705604
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[ 0.42255802]
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  0.44248611  0.62265053  0.58324516  0.68097691]
[ 0.70474798]
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[ 0.60458165]
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  0.62869612  0.49414477  0.42692015  0.50831487]
[ 0.1799474]
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[ 0.22242032]
[ 0.7508214   0.78417638  0.45238021  0.4247835   0.53281838  0.33935564
  0.64948897  0.54864939  0.19423347  0.38679615]
[ 2.30895316]
[ 0.50069843  0.64922955  0.60790686  0.39989418  0.54561882  0.4029698
  0.61930821  0.49147265  0.29524782  0.40407346]
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  0.44459929  0.52734743  0.53287203  0.58818651]
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[ 1.0459968]
[ 0.46932507  0.63802052  0.53778486  0.52186267  0.45433856  0.57589073
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[-1.0169662]
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[ 1.55401585]
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[ 1.24545869]
[ 0.68182493  0.8491177   0.27737897  0.38685553  0.8036702   0.23998427
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[ 0.35969777]
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[ 0.367103    0.54475462  0.4917642   0.49783308  0.46584082  0.61477095
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[ 0.72852498  0.8898065   0.24084458  0.37964276  0.81077577  0.24243884
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[ 0.13710141]
[ 0.46349394  0.73906009  0.4274769   0.42690729  0.53738755  0.61808244
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[ 2.00253219]
[ 0.48027195  0.55684193  0.65040278  0.45890608  0.47364879  0.35595728
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[ 2.16826143]
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[ 2.37481974]
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[ 2.94266297]
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[ 1.20590942]
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[ 1.22425736]
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[ 0.35351621]
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[ 0.1173775]
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[ 0.42076706]
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[ 0.34723409  0.55173487  0.65241312  0.4531644   0.35108984  0.60293644
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[-0.49667745]
[ 0.44770439  0.46428133  0.56472078  0.45401225  0.55394203  0.29077074
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[-0.39683524]
[ 0.56728328  0.47391334  0.6673875   0.49983529  0.24714884  0.5127537
  0.42482039  0.50709973  0.53830932  0.60158463]
[ 0.42644423]
[ 0.71268695  0.76980804  0.40330301  0.40090638  0.75113852  0.32179042
  0.76614233  0.25508612  0.14366095  0.28910376]
[ 1.98659799]
[ 0.56342911  0.76344475  0.27137712  0.3648147   0.7865159   0.32944649
  0.66011489  0.32319261  0.23540517  0.30338362]
Progress: 38.3% ... Training loss: 0.671 ... Validation loss: 1.171[-0.32331897]
[ 0.42839804  0.49242356  0.71165524  0.46389801  0.42168644  0.60901015
  0.48211774  0.62361249  0.44324242  0.5359262 ]
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[ 2.53575928]
[ 0.48719025  0.55980153  0.52844525  0.39423742  0.66924355  0.47736795
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[ 1.75463193]
[ 0.39130282  0.67062195  0.61624208  0.35304936  0.62016619  0.40187205
  0.46788233  0.45773776  0.43716216  0.50443658]
[ 0.54616311]
[ 0.33629173  0.51930449  0.70227292  0.45826643  0.354229    0.59748182
  0.4035748   0.64060794  0.54530923  0.59584431]
[ 0.78166199]
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  0.42768353  0.52608385  0.42591137  0.5134615 ]
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[-0.09526221]
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[-0.05905064]
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  0.43009842  0.560319    0.57803522  0.50414845]
[ 0.20812146]
[ 0.57904277  0.76406902  0.33252003  0.43659346  0.65924241  0.3276978
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[ 1.86065261]
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  0.51770915  0.63111131  0.53132794  0.58786013]
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  0.7408141   0.24135751  0.24643701  0.31214498]
[ 0.99592702]
[ 0.34667692  0.28763952  0.58751607  0.48337937  0.31809164  0.44252857
  0.56438992  0.44526603  0.51701821  0.60740881]
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[ 0.81256952]
[ 0.30758137  0.44078253  0.63110444  0.38137974  0.40243482  0.62833041
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[ 0.90479097]
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[ 0.32118497  0.44043576  0.65830521  0.53599941  0.29670963  0.61229927
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[ 1.48875836]
[ 0.58418502  0.57092291  0.46770416  0.40331482  0.64549597  0.46823559
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[ 2.88519346]
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[ 0.48244068]
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[ 0.92871433]
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[ 0.57152785]
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[ 0.41529594  0.51150959  0.55720036  0.4241959   0.51711208  0.45134614
  0.46692973  0.45411092  0.43259094  0.55409312]
[-0.40560605]
[ 0.60725033  0.70361203  0.29929898  0.3681759   0.84565823  0.23160763
  0.67449129  0.32905669  0.31720149  0.3432305 ]
[ 0.47634131]
[ 0.29128771  0.44112484  0.62767016  0.49466971  0.27788842  0.63524969
  0.45429021  0.54335525  0.52346566  0.66169754]
[ 0.91450814]
[ 0.37155055  0.56230761  0.52442038  0.48186672  0.41639796  0.59384372
  0.52134286  0.7308314   0.55850433  0.74465796]
Progress: 38.6% ... Training loss: 0.672 ... Validation loss: 1.150[-0.7834831]
[ 0.47874372  0.53234383  0.5768328   0.3891813   0.46001505  0.48423483
  0.56303768  0.46459571  0.46442621  0.64985135]
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[ 0.54760646]
[ 0.6323173   0.65103675  0.42873872  0.48509972  0.62042214  0.45299877
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[ 0.87385727]
[ 0.43997699  0.63226671  0.40428412  0.41626872  0.64089244  0.49323624
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[ 0.58147436]
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[ 0.1781483]
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[ 1.05456426]
[ 0.5726654   0.64872766  0.51346497  0.33541686  0.7721085   0.19350761
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[ 0.24212962]
[ 0.36882808  0.48537965  0.63564561  0.44551493  0.44799194  0.56000608
  0.49516168  0.61017344  0.611358    0.38647448]
[ 0.10507854]
[ 0.49208585  0.61055447  0.41776063  0.50883739  0.4720367   0.61688975
  0.54438485  0.5957733   0.52242574  0.60620647]
[ 0.21629211]
[ 0.46357255  0.47862999  0.69190486  0.39922694  0.25245248  0.53335257
  0.49718503  0.59278418  0.53981685  0.73419662]
[ 0.12217131]
[ 0.50724982  0.7282196   0.4764874   0.45445884  0.58798417  0.38065288
  0.63160052  0.31192506  0.34963052  0.27557223]
[-0.09727627]
[ 0.45953911  0.48999302  0.51373671  0.51482118  0.45010409  0.46760589
  0.6608219   0.71882641  0.51084726  0.64331394]
[ 0.37638961]
[ 0.39941199  0.48336626  0.6664157   0.48716379  0.33523704  0.58453395
  0.45623186  0.59541582  0.38393473  0.56021078]
[-0.7035421]
[ 0.41268334  0.50414575  0.59510968  0.47729906  0.42974009  0.51105407
  0.44211061  0.56830174  0.51238251  0.62486991]
[-0.17442081]
[ 0.55106328  0.58089219  0.42440342  0.52425918  0.6350174   0.50327576
  0.49103758  0.41668747  0.44952157  0.49567745]
Progress: 38.9% ... Training loss: 0.670 ... Validation loss: 1.152[-0.66908432]
[ 0.32745732  0.4312525   0.67883882  0.43843675  0.45686678  0.5119563
  0.59073323  0.61866912  0.52628909  0.59749202]
[-0.32938238]
[ 0.46729045  0.5241647   0.45441133  0.56054995  0.48659667  0.45139768
  0.6198007   0.64656779  0.48887532  0.58960543]
[-0.00083482]
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[-0.73200769]
[ 0.38971751  0.47566713  0.59521833  0.49488899  0.47807436  0.48314987
  0.43518556  0.61463241  0.5506691   0.40484525]
[ 3.5348965]
[ 0.71734549  0.79453674  0.40642489  0.40318887  0.68599061  0.26068779
  0.5966692   0.52075411  0.22584879  0.26701967]
[ 1.78482624]
[ 0.45015489  0.52285183  0.46173805  0.57710074  0.31795502  0.58397473
  0.53077415  0.63139095  0.46652364  0.54569459]
[-0.74723088]
[ 0.40088556  0.52395611  0.51363398  0.50112176  0.42411611  0.55896097
  0.53746697  0.56915513  0.41473228  0.59238162]
[-0.89857931]
[ 0.41060275  0.64100952  0.51457943  0.48651099  0.64505785  0.43006955
  0.64703993  0.52934246  0.32513385  0.40058728]
[ 0.54908125]
[ 0.44025898  0.56826523  0.40253738  0.46778884  0.59503086  0.36745948
  0.51515458  0.54956018  0.52621396  0.59610913]
[ 2.59365516]
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  0.72062109  0.33060324  0.21603246  0.27561253]
[-0.56246029]
[ 0.32000303  0.48266042  0.63376333  0.41692139  0.43072556  0.58282784
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[ 0.23412886]
[ 0.50399765  0.72210813  0.50993167  0.44175107  0.56067089  0.44129569
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[-0.17146116]
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[ 0.16037005]
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  0.53321237  0.58352417  0.54784761  0.6507465 ]
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[-1.39475637]
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[-0.72483982]
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[ 0.77580631]
[ 0.51109531  0.54008083  0.59611103  0.45339256  0.52472782  0.47367596
  0.5962284   0.60963913  0.39913024  0.40858679]
[ 0.74513118]
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[ 0.23332473]
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[ 0.4773762]
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[ 0.02712678]
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[ 0.94509249]
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[ 0.24679294]
[ 0.46842407  0.49350794  0.61513719  0.37725595  0.49648658  0.45613949
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[ 2.29110978]
[ 0.42996159  0.68917103  0.45942032  0.37003911  0.72785292  0.46226808
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[ 0.57003036]
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[ 0.48543665]
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[ 1.5214177]
[ 0.48656824  0.54829672  0.56123728  0.51234438  0.41282189  0.52941556
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[ 1.65352769]
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[ 1.12199517]
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[ 0.25511897]
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[ 0.85791523]
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[ 1.44368517]
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[ 0.10159103]
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[ 0.24678456]
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[ 0.0028701]
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[ 0.07734162]
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[ 1.14429175]
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[ 0.05849884]
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[ 2.5973709]
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[ 0.52259508]
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[ 0.20595543]
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[ 0.33365682]
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[ 2.14119065]
[ 0.39476434  0.58624709  0.40414701  0.406277    0.59960541  0.41747705
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[ 0.09439425]
[ 0.65029739  0.64849627  0.45946337  0.52979517  0.44317461  0.55550501
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[ 0.33926775  0.31448639  0.62956144  0.46953254  0.29678078  0.57770659
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[ 1.05912889]
[ 0.34989019  0.62504076  0.38812499  0.4339958   0.61099042  0.44262842
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[-1.20122512]
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[ 0.46363953]
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[ 0.63728695  0.7638031   0.26260187  0.26236373  0.8542014   0.18684404
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[ 0.09417567]
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[ 0.83745951]
[ 0.59795101  0.71349512  0.55555233  0.40107268  0.34752058  0.41676898
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[ 0.1186398]
[ 0.50048679  0.58559446  0.53973083  0.6278838   0.40461774  0.52677283
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[ 0.41017765  0.69451952  0.36465937  0.48561434  0.59742416  0.55390962
  0.5690032   0.52037196  0.39682831  0.43575395]
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[ 0.52560188  0.60328444  0.41294836  0.34976305  0.66508684  0.23193494
  0.71335893  0.29280749  0.27806904  0.43206846]
[ 0.80481482]
[ 0.39972566  0.52953875  0.48684261  0.40143288  0.52067957  0.40838006
  0.53630367  0.47322127  0.43993576  0.51065122]
[-0.65918672]
[ 0.3700992   0.54742504  0.72656776  0.43125746  0.37485551  0.58037398
  0.46427012  0.5465305   0.45548197  0.61483063]
[-0.07654163]
[ 0.4817657   0.62911064  0.47216366  0.23689173  0.77551613  0.37388659
  0.60902778  0.3528892   0.36789986  0.45737327]
Progress: 39.1% ... Training loss: 0.669 ... Validation loss: 1.166[-0.77818586]
[ 0.53757857  0.43760119  0.54307324  0.52296353  0.41334893  0.37512961
  0.48092608  0.55110931  0.53919588  0.47649707]
[-1.35134743]
[ 0.58198435  0.70222768  0.38144569  0.49948001  0.64535808  0.36401123
  0.6248087   0.53002418  0.44911119  0.35407973]
[-1.45055683]
[ 0.48008558  0.72353886  0.50850157  0.36140267  0.72648319  0.32438222
  0.64954295  0.39645879  0.34275654  0.33348269]
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[ 0.35532985  0.52048704  0.5929322   0.49602802  0.49426984  0.54390959
  0.56558513  0.58630708  0.42429153  0.53794237]
[ 1.18570066]
[ 0.38797085  0.52901259  0.67898206  0.44618105  0.42602893  0.43544654
  0.44222669  0.55993372  0.49348355  0.50421456]
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[ 0.51371186  0.65012803  0.46973562  0.35940071  0.51085764  0.44344056
  0.65137817  0.66534402  0.46482802  0.62904059]
[ 0.01353852]
[ 0.34850306  0.43177119  0.64764148  0.36607928  0.40132788  0.53339584
  0.48978402  0.60454926  0.60963217  0.64976411]
[ 2.22932787]
[ 0.43156341  0.57720958  0.67395552  0.34176492  0.57195269  0.41063901
  0.57246335  0.58582316  0.32500021  0.48680309]
[-0.27029843]
[ 0.39874402  0.65077979  0.37184397  0.45542432  0.52227345  0.43730233
  0.71174266  0.55920981  0.43300911  0.36109779]
[ 2.15700107]
[ 0.61236854  0.81717618  0.301753    0.28644245  0.77345025  0.23290079
  0.73790658  0.55414493  0.24315916  0.41637236]
[-0.82567291]
[ 0.53582729  0.63867633  0.38149256  0.48209543  0.62915281  0.60284396
  0.48902649  0.44348458  0.41428056  0.3934283 ]
[ 1.10919716]
[ 0.61281757  0.60401041  0.59349121  0.35695351  0.54615062  0.54302841
  0.49272153  0.42115527  0.39112083  0.5550535 ]
[-0.49921969]
[ 0.48151922  0.54968775  0.56031959  0.4340003   0.32974291  0.42268474
  0.52218849  0.59885327  0.58581249  0.55771098]
[ 1.69300812]
[ 0.34597288  0.52024271  0.68772473  0.43842191  0.32930731  0.52395752
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[-0.56959599]
[ 0.36993457  0.6970486   0.35276912  0.49808758  0.44852716  0.28164297
  0.66203511  0.54925849  0.40834416  0.5330126 ]
[ 0.09021057]
[ 0.5056883   0.51964461  0.58779596  0.38790633  0.64612512  0.32774065
  0.43393982  0.4343752   0.43764692  0.47760385]
[-0.12809795]
[ 0.30998718  0.38348557  0.71647525  0.60989135  0.1891147   0.65777511
  0.45007556  0.59517747  0.60895471  0.68139109]
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[ 0.46062928]
[ 0.35622259  0.44157783  0.673319    0.45331923  0.31753509  0.53062232
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[-0.35138916]
[ 0.42230029  0.53481054  0.57077528  0.42005893  0.4819975   0.4404975
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[-0.80785414]
[ 0.50597434  0.42397679  0.60344987  0.48847898  0.50220364  0.44378704
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[ 0.49542996  0.46195028  0.66097099  0.4748134   0.18202858  0.51105321
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[-0.88294849]
[ 0.54517567  0.55201552  0.49390085  0.54711981  0.57437634  0.57975994
  0.52310064  0.40978845  0.50331975  0.35347923]
[-0.19294732]
[ 0.4618593   0.61596094  0.66362607  0.50950774  0.38858079  0.63094079
  0.50621791  0.65584123  0.6530524   0.52859198]
[-0.63985]
[ 0.543438    0.66890749  0.56146582  0.32041831  0.59571017  0.33163279
  0.63871673  0.54570569  0.33314336  0.45792836]
[-0.83018938]
[ 0.40327282  0.51814225  0.56677094  0.43460514  0.49938581  0.38088009
  0.53694609  0.5157686   0.39028574  0.50359287]
[ 1.01556574]
[ 0.51033895  0.63231291  0.43593111  0.47473093  0.69499894  0.50348188
  0.63648862  0.26679352  0.37841584  0.32537098]
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[-0.58655506]
[ 0.45445136  0.64073607  0.62604626  0.36994199  0.55670169  0.38155268
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[ 1.03944443]
[ 0.56861201  0.71424863  0.34084333  0.36711718  0.70516175  0.34648508
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[-0.57287678]
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[ 1.64409226]
[ 0.60072716  0.71215016  0.2787125   0.4486395   0.69370037  0.41645701
  0.61111537  0.40547681  0.32565979  0.35867086]
[ 0.04668353]
[ 0.30398233  0.50399759  0.69348695  0.52827599  0.19684759  0.6454385
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[ 1.42730393]
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  0.57623099  0.30770793  0.25661456  0.32675399]
[ 0.19937656]
[ 0.43233463  0.53484647  0.50503369  0.46419105  0.38141551  0.55388812
  0.52803836  0.7454841   0.60041385  0.53253535]
[ 0.5531615]
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[ 0.53891671  0.61037938  0.57408251  0.54936924  0.39296437  0.54861675
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[ 0.03418203]
[ 0.47261862  0.51485033  0.62993101  0.35680709  0.37617035  0.3360241
  0.5356762   0.49384448  0.38989793  0.65927141]
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[ 0.51569822  0.56918435  0.48252626  0.31213693  0.65940646  0.4733759
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[ 0.56996867  0.62811197  0.50069861  0.38828901  0.6868365   0.39570622
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[ 0.24434472]
[ 0.57828458  0.61620967  0.55599544  0.47135261  0.55663695  0.40093442
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[ 0.57142045]
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[ 0.0352006]
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[ 1.41315194]
[ 0.2786668   0.51605659  0.70223399  0.41269211  0.44866273  0.63552068
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[ 3.15830153]
[ 0.472376    0.52644265  0.54699053  0.40385772  0.51318273  0.42912366
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[ 0.36480586]
[ 0.44447091  0.43106309  0.63406762  0.43799384  0.33204729  0.50820191
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[ 0.02114591]
[ 0.50465126  0.60548302  0.44670518  0.47302425  0.45715247  0.45260976
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[ 0.99510592]
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[ 1.26171411]
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[ 0.02742328]
[ 0.40854696  0.38310497  0.59087494  0.56218197  0.24303303  0.53315214
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[ 1.12837807]
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[ 0.88820724]
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[ 1.36336326]
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[ 0.80973442]
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[ 0.17445593]
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[ 0.88076588]
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[ 1.59895513]
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[ 0.08604425]
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[ 0.93307392]
[ 0.4152807   0.62772439  0.488382    0.53485856  0.46267584  0.55094779
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[ 0.45638813  0.52208187  0.55585729  0.4863403   0.45901748  0.4742175
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[ 0.31627667]
[ 0.41545306  0.49098391  0.53755965  0.52841057  0.42768017  0.64209746
  0.4404111   0.42180372  0.52155677  0.47648632]
[ 0.42715653]
[ 0.52661295  0.6799641   0.48718553  0.42127554  0.38694411  0.38659217
  0.66183231  0.67397999  0.45234791  0.56029032]
[-0.39761268]
[ 0.41274315  0.52533593  0.5454701   0.41840764  0.4198235   0.36676834
  0.71707686  0.66689818  0.44886058  0.47596756]
Progress: 39.4% ... Training loss: 0.668 ... Validation loss: 1.170[-0.38603863]
[ 0.37361404  0.41259755  0.5764866   0.5168759   0.39936706  0.61184906
  0.32425695  0.51722544  0.57298169  0.63998435]
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[ 1.63617542]
[ 0.61634345  0.69539078  0.42760007  0.30558757  0.81047386  0.37885247
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[ 0.98624121]
[ 0.64399643  0.75451992  0.44364057  0.31679946  0.73776546  0.19502212
  0.65861362  0.47491302  0.16953576  0.2977066 ]
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  0.68037342  0.50646949  0.38840926  0.42193351]
[ 0.25276898]
[ 0.41847122  0.59372222  0.58628913  0.31396077  0.54409712  0.49430821
  0.40922236  0.43376169  0.51975555  0.41964497]
[ 1.55340132]
[ 0.28204861  0.40954697  0.66178639  0.48225     0.34548949  0.57721443
  0.43124995  0.56773707  0.64583068  0.6629996 ]
[-0.15598235]
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  0.487319    0.45542594  0.46573322  0.43975346]
[ 0.20075795]
[ 0.42432608  0.56125491  0.57363369  0.52892254  0.40586219  0.51238244
  0.47237514  0.51140427  0.51123919  0.46678304]
[ 0.04941703]
[ 0.65302829  0.75681662  0.3928062   0.32428957  0.84551432  0.28613941
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[-1.32711222]
[ 0.50813941  0.6441179   0.49576684  0.4218967   0.72823718  0.30875401
  0.62353448  0.63298657  0.33578291  0.3302919 ]
[ 1.56289364]
[ 0.49132076  0.5807262   0.52451031  0.40866227  0.62565115  0.40898181
  0.64030861  0.45824638  0.37251191  0.48151533]
[-0.19247638]
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  0.44686575  0.65522017  0.65914478  0.64406024]
[ 0.00704132]
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  0.61150051  0.69128359  0.55939896  0.43341312]
[ 1.13360943]
[ 0.63442698  0.68488577  0.54720766  0.45878108  0.65055822  0.36470785
  0.6011566   0.45799832  0.23614029  0.32728572]
[ 1.27945959]
[ 0.36780107  0.30919017  0.75496241  0.53447107  0.1916258   0.68043386
  0.43873966  0.62582651  0.63792714  0.66151657]
[ 0.21911129]
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  0.65039779  0.54744699  0.19339903  0.38536601]
[ 0.53659621]
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  0.60555192  0.40603999  0.40617243  0.38495183]
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  0.49462128  0.54808775  0.48716334  0.51997421]
[-0.36306735]
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  0.4852655   0.38433131  0.42571281  0.45876084]
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[ 0.3064122]
[ 0.54415274  0.64911808  0.42833586  0.46215563  0.70880593  0.34044965
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[ 1.24996164]
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[ 1.10833941]
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  0.67628605  0.30842797  0.24363704  0.2563237 ]
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[ 0.17858906]
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[ 0.20843328]
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[ 0.02179679]
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[ 1.33973456]
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[ 2.66771913]
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[ 0.55469373]
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[ 0.72467044]
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[ 0.34255347]
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[ 0.28871891]
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[ 0.29755585  0.34830727  0.72075903  0.4386869   0.30055441  0.51807098
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[ 0.17081807]
[ 0.24016596  0.3913694   0.64407895  0.57002081  0.30436461  0.7858016
  0.34649984  0.65110927  0.60303351  0.69117912]
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[ 0.38788899  0.42541123  0.68554925  0.51294703  0.19825519  0.64276947
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[ 0.3318937]
[ 0.49039102  0.44353171  0.76042072  0.42639581  0.30813915  0.45422709
  0.39551515  0.56902066  0.40203632  0.59479667]
Progress: 39.7% ... Training loss: 0.668 ... Validation loss: 1.164[ 0.79188776]
[ 0.55014106  0.54703629  0.57562742  0.42189414  0.35394946  0.39518987
  0.48022852  0.48728161  0.37745818  0.66509336]
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[ 0.3237224]
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[ 0.16339388]
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[ 0.30493954]
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[ 1.16210086]
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[ 0.94605645]
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[ 0.20432354]
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[ 0.7092004]
[ 0.52929387  0.78666253  0.29613999  0.41972516  0.70226792  0.30637378
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[ 0.25972118]
[ 0.44089362  0.54930721  0.6249194   0.44940291  0.35813828  0.61724945
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[ 0.38742461  0.52423415  0.72911301  0.45138312  0.26220081  0.44833271
  0.50571108  0.63126904  0.3052046   0.58119862]
Progress: 40.0% ... Training loss: 0.667 ... Validation loss: 1.154[ 0.74649372]
[ 0.59591152  0.67899125  0.41644378  0.50838488  0.52082485  0.45176892
  0.56992017  0.46708009  0.35049693  0.54553651]
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[ 0.27812628]
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  0.68683718  0.331717    0.3117377   0.26967834]
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[ 1.22039348]
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[ 0.22301492]
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[ 0.96709424]
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[ 1.80936407]
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[ 0.00779135]
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[ 0.10550285]
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[ 0.66127484]
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[ 0.74122863]
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[ 2.0968117]
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[ 2.93540587]
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[ 0.55461423]
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[ 1.42414238]
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[ 1.75496688]
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[ 2.60400467]
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[ 0.21897422]
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  0.47223063  0.48987873  0.48859806  0.4777719 ]
[ 0.00174911]
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[ 0.82465059]
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[ 1.77928094]
[ 0.41118342  0.61377856  0.55856982  0.47427964  0.42827577  0.4971645
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[ 1.88753311]
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[ 0.23539632]
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[ 0.29506694]
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[ 2.25643609]
[ 0.52739585  0.67753087  0.40917551  0.36844622  0.6743208   0.33063448
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[ 0.48938461  0.52441326  0.40961756  0.58377083  0.55005178  0.5992745
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[ 0.74454532]
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[ 0.53423906  0.68629076  0.46855842  0.5202976   0.54223612  0.43063166
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[ 0.29177369  0.33890635  0.70892482  0.51513104  0.35893909  0.57281629
  0.51279196  0.70561291  0.66951282  0.59617073]
[ 2.15066384]
[ 0.46101926  0.57887174  0.61936858  0.37218205  0.55052468  0.40755582
  0.54120986  0.47313027  0.30835341  0.41192174]
[-0.94756028]
[ 0.56671884  0.47354364  0.43638685  0.53958028  0.64186653  0.34744654
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[-0.29612541]
[ 0.44515341  0.69399902  0.26305255  0.56351806  0.4950011   0.43282154
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[ 0.46315466  0.51761498  0.5818982   0.56666675  0.3613936   0.58016616
  0.46509857  0.6682016   0.52459634  0.56767782]
Progress: 40.3% ... Training loss: 0.666 ... Validation loss: 1.159[-0.17650488]
[ 0.45831571  0.48793649  0.43217492  0.61307748  0.32397848  0.43549577
  0.58652818  0.63963269  0.59964311  0.55680428]
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[ 0.34186691  0.35416251  0.71818889  0.50754546  0.1992298   0.51947251
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  0.60068121  0.56919651  0.4021963   0.47532686]
[ 0.35689966]
[ 0.41092773  0.71307208  0.57588561  0.41627419  0.36659766  0.54445068
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[ 2.31303797]
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[ 0.09480885]
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[ 0.19112175]
[ 0.60416755  0.72297121  0.31759979  0.37983034  0.84119499  0.26418374
  0.68889548  0.30154546  0.26282961  0.3008088 ]
[ 1.04127309]
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[ 1.11398363]
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[ 0.14002089]
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[ 0.14979139]
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[ 0.74190706]
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[ 0.42579965]
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[ 0.94780777]
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[ 3.0701352]
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[ 2.26296195]
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[ 0.74504663]
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[ 0.17206828]
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[ 1.81395616]
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[ 0.85344262]
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[ 0.13096961]
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[ 0.11574215]
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[ 1.10633154]
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[ 0.24506802]
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[ 0.18431225]
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[ 0.04803869]
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[ 2.62160173]
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[ 0.80753828]
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[ 1.67672219]
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[ 1.05234463]
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[ 0.71993834]
[ 0.34828177  0.43474236  0.76017609  0.33630599  0.38908298  0.55566993
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[ 0.06891912]
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[ 1.83750046]
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[ 1.91519278]
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[ 0.13747157]
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[ 0.37413355]
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[ 0.47812724]
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[ 1.09071569]
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[ 0.28498662]
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[ 0.33520168  0.348083    0.70196255  0.45604985  0.23190469  0.53767875
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[-0.63802153]
[ 0.47010566  0.57145959  0.53409184  0.45196072  0.33125069  0.52728282
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[ 0.02688695]
[ 0.32550783  0.43492757  0.72172537  0.39340967  0.26814057  0.62536043
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[-0.46363503]
[ 0.41178868  0.58525472  0.59965953  0.39879586  0.42140257  0.43466875
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[-0.83631034]
[ 0.60978508  0.65418655  0.58665152  0.3421721   0.64370094  0.36794225
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[-0.16232542]
[ 0.67117771  0.81683222  0.3248158   0.26272886  0.84182051  0.26355121
  0.71983407  0.36403786  0.2716972   0.47556132]
Progress: 40.6% ... Training loss: 0.665 ... Validation loss: 1.169[-0.8051628]
[ 0.40641193  0.42280024  0.60548536  0.5067878   0.48848645  0.39524846
  0.58361526  0.45828995  0.46748148  0.54335488]
[ 0.07062125]
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  0.58568111  0.78053419  0.62091757  0.51454646]
[ 0.48243183]
[ 0.39213771  0.49002901  0.67196357  0.43246736  0.40000336  0.58605097
  0.51447426  0.59588883  0.62896365  0.56600115]
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[ 0.19729046]
[ 0.39500988  0.45762261  0.56824466  0.35939993  0.52320628  0.27589237
  0.59280661  0.58147617  0.39741404  0.54563743]
[ 1.38113991]
[ 0.56405866  0.72813955  0.35945102  0.2565608   0.76472793  0.16259013
  0.63495549  0.42032015  0.27906206  0.42734664]
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  0.50024752  0.60403394  0.43674072  0.48850813]
[ 0.76773428]
[ 0.5921716   0.57097213  0.50406814  0.40861434  0.64972092  0.30966978
  0.56629651  0.48100381  0.34045802  0.42581452]
[-0.0937996]
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  0.46605948  0.71382765  0.56551977  0.54424136]
[-0.67796861]
[ 0.42132705  0.54777064  0.41228625  0.54808136  0.49227988  0.50460749
  0.59331793  0.65709035  0.52428103  0.50649895]
[ 0.14143788]
[ 0.55183122  0.6472564   0.50407985  0.48825116  0.59174568  0.37378704
  0.62689192  0.54161116  0.30730012  0.51877007]
[ 0.22860879]
[ 0.2733671   0.33547962  0.7720963   0.42827058  0.19625378  0.57410092
  0.37373338  0.58837495  0.70356758  0.68889372]
[-0.4205249]
[ 0.49283923  0.56611326  0.51864009  0.52107061  0.30684722  0.6104063
  0.55832181  0.59254775  0.47316191  0.65275336]
[ 1.14219639]
[ 0.56148612  0.71158985  0.49783268  0.42829447  0.60889721  0.41686339
  0.50595848  0.35560139  0.35063721  0.41225565]
[ 0.02198932]
[ 0.46362757  0.72821621  0.50877092  0.43113989  0.45394101  0.56520308
  0.42836981  0.56788298  0.49844429  0.52548139]
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  0.4731959   0.48045996  0.50201585  0.49664277]
[-0.35906977]
[ 0.4022002   0.38796792  0.64598948  0.56356495  0.36148679  0.6521218
  0.47886094  0.66004596  0.59421268  0.64636329]
[ 0.46156564]
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  0.48723769  0.42083148  0.46632583  0.36724633]
[ 0.82739478]
[ 0.40561415  0.5256631   0.5307896   0.50799101  0.35481057  0.4949161
  0.52606278  0.49436629  0.42524908  0.55560415]
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  0.65329991  0.67177918  0.42330611  0.63090085]
[ 0.80445889]
[ 0.6411224   0.61249546  0.34180254  0.43964636  0.80662545  0.2648628
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[-0.63267099]
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[ 0.14666062]
[ 0.49739468  0.56869745  0.55885515  0.42444751  0.38571361  0.56904172
  0.59035428  0.69156852  0.60053941  0.63367175]
[ 0.54556798]
[ 0.66801175  0.69610327  0.43112083  0.42534339  0.67470251  0.33438207
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[ 0.26910886]
[ 0.40279613  0.61129295  0.43395027  0.48017589  0.68411046  0.32925932
  0.6051913   0.29072464  0.37259904  0.38548687]
[ 2.70087886]
[ 0.49565965  0.59943773  0.44898839  0.45412037  0.61768783  0.43196105
  0.62475563  0.32568783  0.37761436  0.23989486]
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  0.39251881  0.59666873  0.54634998  0.55586179]
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[ 0.51433894  0.43714833  0.56727327  0.48423989  0.55711147  0.29007584
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[ 1.31809575]
[ 0.54314241  0.56961096  0.50606814  0.36438782  0.70035379  0.29949497
  0.47241682  0.38169501  0.42528853  0.4079055 ]
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[ 0.47496178  0.608474    0.69232427  0.50463979  0.24691976  0.63494147
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[ 0.0494968]
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[ 0.26074924]
[ 0.38004232  0.42503178  0.75013927  0.36198298  0.45302554  0.45835847
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  0.4873807   0.47416074  0.47274428  0.40886322]
[ 3.37026074]
[ 0.40539249  0.53473429  0.52095857  0.4412794   0.54449628  0.44416833
  0.53098559  0.57404969  0.45657422  0.31129678]
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[ 0.54564104  0.75859736  0.28465229  0.40910948  0.76382554  0.37133901
  0.6081328   0.60102694  0.35661983  0.45960372]
[-1.28007723]
[ 0.71062894  0.63611737  0.41502249  0.50121719  0.58154175  0.44083602
  0.59684263  0.44821159  0.42765447  0.39897381]
[ 0.36867379]
[ 0.42273908  0.50019334  0.57936333  0.38073945  0.41642983  0.52308758
  0.47381873  0.7166041   0.63605793  0.53863407]
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[ 0.62164373  0.66136899  0.45448763  0.42365664  0.61561628  0.4486382
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[ 0.44059891]
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[ 3.10917959]
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[ 2.34793069]
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[ 1.10908789]
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[ 0.33420598]
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[ 1.23914478]
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[ 1.62341557]
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[ 0.92174138]
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[ 1.2484221]
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[ 0.14762545]
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[ 0.15836253]
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[ 0.01705834]
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[ 0.49576129]
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[ 0.56560331  0.49581176  0.62335552  0.54348268  0.4363732   0.44272159
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[ 0.57700312  0.72202967  0.42742312  0.37305329  0.68068346  0.37047436
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[ 0.46293332  0.51720202  0.58207042  0.56696136  0.3609348   0.58039713
  0.46493074  0.66834213  0.52498533  0.56798133]
[ 1.13044353]
[ 0.38545189  0.55373651  0.62500684  0.29330937  0.61886403  0.44887045
  0.50873965  0.50525059  0.46598146  0.65243822]
[-0.28850589]
[ 0.44020998  0.51102629  0.5838391   0.5530797   0.36292616  0.47717942
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[-0.38801445]
[ 0.42968377  0.46459129  0.54696727  0.54626142  0.53832123  0.40574456
  0.57921765  0.48858356  0.46493259  0.53991646]
Progress: 40.9% ... Training loss: 0.665 ... Validation loss: 1.154[ 0.64288431]
[ 0.68713443  0.7645008   0.42452388  0.39689615  0.73156247  0.39280508
  0.62802933  0.34737243  0.31764453  0.31494431]
[ 0.47341948]
[ 0.45827606  0.57094515  0.58392583  0.54105477  0.30788659  0.63434338
  0.45262622  0.65957212  0.47089905  0.64175721]
[ 2.88451282]
[ 0.4473772   0.57419423  0.53620024  0.53643675  0.53080722  0.48707013
  0.57212151  0.34629921  0.35528125  0.30937109]
[ 0.18651356]
[ 0.46389637  0.69079536  0.35006782  0.37553239  0.71661163  0.47784386
  0.5386959   0.38460448  0.35333128  0.42296307]
[ 0.25476367]
[ 0.50542058  0.37193447  0.60158986  0.48424615  0.35885311  0.4845659
  0.50480318  0.59869948  0.50279595  0.58856333]
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  0.54137325  0.50003856  0.35460078  0.46968041]
[ 0.05250867]
[ 0.29833354  0.4330138   0.79558759  0.37665405  0.16486078  0.51265965
  0.38113195  0.62892114  0.66251311  0.68803561]
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  0.52662949  0.47398849  0.50284319  0.47727926]
[ 0.36689855]
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  0.64257067  0.43342636  0.39827166  0.50660543]
[ 0.91474145]
[ 0.51623733  0.59324622  0.49042826  0.43969114  0.52950098  0.55469384
  0.4860884   0.55197751  0.54400983  0.48202417]
[ 0.06291573]
[ 0.32773576  0.41166307  0.66726274  0.48792655  0.32286844  0.55070696
  0.38887089  0.574908    0.58556267  0.67680366]
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[ 0.3926111   0.49919528  0.61794364  0.51749287  0.32714674  0.58285412
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[ 1.15624273]
[ 0.49955431  0.64397905  0.41963657  0.34117785  0.71292811  0.41500692
  0.63715748  0.45220738  0.39266123  0.38964866]
[ 0.29919415]
[ 0.62132441  0.55105396  0.44573662  0.40476266  0.64191588  0.35224313
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  0.64567268  0.40434647  0.40784503  0.42218897]
[ 0.606498]
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  0.68067995  0.31669173  0.30459473  0.30181356]
[ 1.16536591]
[ 0.52640775  0.64919333  0.42422272  0.58241537  0.39762513  0.48817818
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[ 0.09972942]
[ 0.34584173  0.40306113  0.69373622  0.41113759  0.22446034  0.50838166
  0.42096449  0.63449115  0.62758476  0.77779018]
[-0.33539312]
[ 0.65190285  0.73309001  0.44058859  0.33163009  0.67467925  0.31782771
  0.56839861  0.29862678  0.33832372  0.4322551 ]
[-0.7829871]
[ 0.5088957   0.64813877  0.42536079  0.51026054  0.34285902  0.36882969
  0.60007107  0.61982172  0.45433237  0.56533297]
[ 1.56144412]
[ 0.60533013  0.50811846  0.49833657  0.45753061  0.59996689  0.40589782
  0.57975674  0.53840843  0.46623934  0.38064647]
[ 1.28651651]
[ 0.59649573  0.49746097  0.50405023  0.5512858   0.49116611  0.48277878
  0.6186775   0.33881589  0.38917306  0.3560973 ]
Progress: 41.1% ... Training loss: 0.664 ... Validation loss: 1.151[-0.84578012]
[ 0.50282142  0.48780594  0.46419849  0.58251195  0.57046651  0.51094064
  0.55618028  0.46545111  0.5012538   0.46494247]
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  0.58389019  0.61876828  0.50353204  0.52052636]
[-0.13170475]
[ 0.49044087  0.71155084  0.37225275  0.30055324  0.67159804  0.3410332
  0.64894187  0.36301503  0.35744941  0.36228496]
[ 0.62882092]
[ 0.5310575   0.64347479  0.44553795  0.47460729  0.66950075  0.36101631
  0.63496109  0.52722221  0.38369721  0.52147924]
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[ 0.32088586  0.36440145  0.62282818  0.59680179  0.24133871  0.62922604
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[ 0.28796648]
[ 0.43167035  0.59807484  0.48302731  0.37093441  0.70450546  0.40672508
  0.63037942  0.49793033  0.29591756  0.27875838]
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[ 2.05045222]
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[ 0.2991982]
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[ 0.00589601]
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  0.6505939   0.3866127   0.3187286   0.4733901 ]
[ 0.36765108]
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[ 0.84896193]
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[ 0.27908033]
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[ 0.05087825]
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[ 0.40617086]
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[ 1.93534101]
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[ 0.57308609]
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[ 0.04238207]
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[ 0.01568405]
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[ 1.78363935]
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[ 0.88360222]
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[ 1.10387884]
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[ 0.56354905]
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[ 0.05247842]
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[ 0.68165915]
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[ 1.19138416]
[ 0.54483978  0.74061572  0.3352987   0.52615011  0.60490939  0.4370204
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[ 0.39480288]
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[ 1.09098726]
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[ 0.17388462]
[ 0.69773063  0.76336868  0.2843702   0.45940937  0.74051149  0.32023732
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[ 0.44675003]
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[-1.28241418]
[ 0.64268823  0.86480999  0.36993905  0.3491097   0.65638559  0.28596596
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[ 0.00079755]
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[ 0.44435679  0.48175599  0.6482065   0.43197432  0.31604987  0.59199161
  0.53499735  0.6425677   0.55750732  0.69423893]
[ 1.11317387]
[ 0.28450681  0.41863633  0.71546491  0.63654051  0.18672234  0.59163952
  0.50581003  0.77630067  0.55557094  0.67572978]
[ 2.00021393]
[ 0.34330738  0.59321984  0.52350911  0.47164881  0.61424031  0.52665283
  0.52564145  0.53435999  0.39826371  0.55598695]
[ 0.23221966]
[ 0.41948882  0.59546353  0.58543543  0.31286798  0.54625108  0.49326895
  0.40997528  0.43289036  0.51829375  0.41842467]
[-0.58882479]
[ 0.68385256  0.64876758  0.3959081   0.47942991  0.65147464  0.35906384
  0.49299909  0.40200406  0.38461645  0.30756711]
[ 0.05616908]
[ 0.58558923  0.57983454  0.49946823  0.4927641   0.33273415  0.52920334
  0.60163025  0.66314199  0.48501318  0.65081495]
Progress: 41.4% ... Training loss: 0.664 ... Validation loss: 1.156[-0.82677431]
[ 0.50303147  0.61204235  0.56078372  0.37278417  0.45948186  0.40687106
  0.46869607  0.43055013  0.47789073  0.41655322]
[ 0.21107143]
[ 0.58022862  0.5281971   0.59790432  0.4032061   0.49332319  0.48026142
  0.42384669  0.48526553  0.51094215  0.60519925]
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  0.5662035   0.58008581  0.5788049   0.64446373]
[ 0.38680975]
[ 0.58798061  0.8282657   0.23498295  0.41636443  0.73876836  0.36653805
  0.553807    0.42431975  0.31778675  0.46968696]
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  0.46462956  0.52935572  0.38463303  0.50171783]
[ 0.22890415]
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[ 0.198668]
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  0.38743274  0.69809732  0.67538526  0.70969949]
[ 0.27740748]
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[ 0.52287931]
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[ 1.06377862]
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[ 0.28663419]
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[ 0.28267169]
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[ 0.60981643]
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[-0.39824077]
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[ 0.11710361]
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[ 0.03063444]
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[ 0.20936038]
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[ 0.51005654]
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[ 0.98490975]
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[ 0.23120334]
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[ 0.09774376]
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[ 0.0270137]
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[ 0.29840949]
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[ 0.38591845]
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[ 0.20950949]
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[ 1.66238651]
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[ 0.97815592]
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[ 0.87833856]
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[ 1.00707924]
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[ 2.3719544]
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[ 0.7451412]
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[ 0.42392254]
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[ 0.10239744]
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[ 1.34574094]
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[ 0.74584544]
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[ 0.92928935]
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[ 1.1455895]
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[ 1.92605457]
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[ 0.74493403]
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[ 0.02570801]
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[ 2.25792645]
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[ 0.96119793]
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[ 0.12408589]
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[ 0.46212579  0.53839254  0.59012567  0.6869274   0.46076223  0.64812839
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[ 0.46008567  0.56161205  0.6840302   0.39364609  0.27046407  0.43947037
  0.5169251   0.66339491  0.61015462  0.60800804]
[ 0.51874138]
[ 0.61742619  0.7264407   0.45598662  0.39334753  0.61890502  0.30154868
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[ 0.40204251  0.41163434  0.62176548  0.43486674  0.43897393  0.37916372
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[ 0.0431692]
[ 0.47238187  0.51476796  0.63586395  0.4549981   0.42043787  0.3580195
  0.53925706  0.53447773  0.47132269  0.41832972]
Progress: 41.7% ... Training loss: 0.663 ... Validation loss: 1.167[ 0.85962371]
[ 0.35696146  0.44381508  0.71091754  0.53288171  0.20306201  0.67516319
  0.36618157  0.66823889  0.52835475  0.5841    ]
[ 0.2929893]
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[ 0.35146233  0.52862152  0.53408801  0.48326312  0.4616949   0.54851338
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[ 1.44241089]
[ 0.5152467   0.59016838  0.54183803  0.42267584  0.55494495  0.52453156
  0.51389183  0.62795134  0.40338149  0.39695195]
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[ 0.01072263]
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[ 0.28807251]
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[ 0.03064457]
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[ 0.95846898]
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[ 0.02854799]
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[ 0.82911307]
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[ 0.55888318]
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[ 0.7563318]
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[ 0.17429355]
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[ 0.58432476]
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[ 1.03240358]
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[ 0.1258168]
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[ 0.84963105]
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[ 1.28819824]
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[ 0.01237415]
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[ 0.01518695]
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[ 0.69927384]
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[ 0.36918539]
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[ 0.77093721]
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[ 0.21016686]
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[ 0.32294104]
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[ 0.09412197]
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[ 0.16202035]
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[ 0.22431592]
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[ 0.25673837]
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[ 0.01740864]
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[ 0.10363061]
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[ 1.06805712]
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[ 0.19060539]
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[ 0.09995785]
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[ 0.97825458]
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[ 0.76825668]
[ 0.61897405  0.78428926  0.30248257  0.40560003  0.85870497  0.2820805
  0.68543969  0.28109818  0.28460493  0.2649795 ]
[-0.65020769]
[ 0.46773562  0.47188115  0.74576037  0.49934267  0.33637469  0.51780954
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[ 0.74510482]
[ 0.32818038  0.48257105  0.54818682  0.55122401  0.31937439  0.52795411
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[-0.96678268]
[ 0.43351886  0.62150054  0.48516023  0.4382886   0.49855845  0.47495572
  0.61566508  0.62854747  0.56558624  0.37108272]
Progress: 42.0% ... Training loss: 0.663 ... Validation loss: 1.170[-0.40602171]
[ 0.49904657  0.58345971  0.47634338  0.52433627  0.48647483  0.60537408
  0.50610986  0.35036728  0.46310594  0.38341929]
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[ 0.13634211]
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[ 0.14959823]
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[ 1.00389477]
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[ 0.23411395]
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[ 0.08205192]
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[ 0.57812262]
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[ 0.24832004]
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[ 0.19585001]
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[ 0.51453271]
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[ 0.89898654]
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[ 1.36546937]
[ 0.35394972  0.43537026  0.62331537  0.51441628  0.36598748  0.61880407
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[ 1.01307374]
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[ 1.72221638]
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[ 1.08367355]
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[ 0.14075278]
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[ 0.20047216]
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[ 0.95676552]
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[ 0.52612824]
[ 0.5726526   0.70036543  0.44740183  0.38854498  0.69704649  0.36790216
  0.6244523   0.42411718  0.37609224  0.34058367]
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  0.66199406  0.37326263  0.2679259   0.44443645]
[ 0.28965939]
[ 0.55926043  0.73615664  0.30087953  0.42047505  0.7399578   0.4146147
  0.61371147  0.27342785  0.25049489  0.34983891]
[ 0.7411428]
[ 0.47371756  0.61811084  0.49986229  0.45076807  0.58454469  0.40944764
  0.53195543  0.46237541  0.46128595  0.56363071]
[ 1.31249472]
[ 0.53778192  0.62647335  0.49753972  0.40726454  0.60395967  0.49671664
  0.53577216  0.59433219  0.37341022  0.38100349]
[-0.67691761]
[ 0.41489418  0.51429867  0.60807935  0.45054266  0.63044264  0.35085899
  0.58803114  0.55247374  0.33991881  0.32393949]
Progress: 42.3% ... Training loss: 0.662 ... Validation loss: 1.176[ 0.93637431]
[ 0.35532161  0.62454859  0.55040333  0.43552586  0.57537532  0.36989573
  0.6075287   0.38895307  0.41168676  0.42021709]
[ 0.57310949]
[ 0.45245267  0.48819042  0.63751218  0.3545807   0.52725963  0.44335773
  0.42249571  0.36015012  0.467973    0.55389664]
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[ 0.52912834]
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[ 0.16900405]
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[ 2.37016624]
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[ 0.19629347]
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[ 0.74813183]
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[ 0.89738499]
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[ 0.09943154]
[ 0.25781055  0.46539806  0.54921135  0.57146016  0.44109999  0.5411838
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[ 0.47775759]
[ 0.32477602  0.45592995  0.60606823  0.50020419  0.3257158   0.39049623
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[ 0.51110671  0.65419186  0.60613185  0.49980044  0.46986349  0.44537412
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[ 0.35808198]
[ 0.47842883  0.60841237  0.59897713  0.33280603  0.61377576  0.39455653
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[ 0.54396561  0.62010447  0.34002995  0.44508323  0.74947033  0.40249788
  0.62485638  0.25246119  0.34463046  0.27294291]
Progress: 42.6% ... Training loss: 0.662 ... Validation loss: 1.176[-0.52263997]
[ 0.34785027  0.46386118  0.53664774  0.57929311  0.39381875  0.52420828
  0.5554617   0.67488222  0.50909838  0.51558011]
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[ 2.67354304]
[ 0.62043008  0.85315929  0.43100522  0.30990714  0.75198681  0.25156721
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[ 2.90000036]
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[ 1.28312239]
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  0.5332161   0.46225702  0.45261391  0.42041349]
[ 0.07395065]
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[ 0.48585319]
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[ 0.27037296]
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[ 0.60735338]
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[ 0.01037199]
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[ 0.23588511]
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[ 0.36556526]
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[ 1.22752642]
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[ 2.26069791]
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[ 2.63507787]
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[ 0.19041727]
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[ 1.04534342]
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[ 0.20461126]
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[ 0.01595941]
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[ 0.22329077]
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[ 0.4577051]
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[ 0.40605613]
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[ 0.40085786]
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[ 0.08188847]
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[ 0.00861575]
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[ 1.37096273]
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[ 0.23780729]
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[ 1.58233068]
[ 0.62618294  0.71233547  0.38818909  0.34052478  0.77479725  0.38207226
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[ 0.75682018]
[ 0.66808479  0.69488248  0.59610061  0.49246788  0.31162658  0.47406306
  0.56135745  0.60658364  0.2585842   0.51701285]
[-0.31786925]
[ 0.39780805  0.40449695  0.56807741  0.57236688  0.3213689   0.65020324
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[-1.01301222]
[ 0.57980211  0.49934643  0.4588593   0.48794655  0.52715037  0.32326542
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[ 0.4035348   0.49875938  0.60001091  0.5686689   0.43121524  0.60971812
  0.44037845  0.64633466  0.53670011  0.53627086]
Progress: 42.9% ... Training loss: 0.663 ... Validation loss: 1.193[-0.1579961]
[ 0.66273654  0.80856329  0.36171315  0.39645471  0.75088814  0.40679964
  0.60999603  0.30547619  0.22098954  0.33560932]
[ 0.84563322]
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[ 0.57726884]
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[ 0.18268511]
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[ 0.31101477]
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[ 0.00973691]
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[ 0.46224028]
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[ 0.04061188]
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[ 0.27088849]
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[ 0.29095437]
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[ 0.37389603]
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[ 0.15774296]
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[ 1.29370865]
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[ 0.12564964]
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[ 0.90209305]
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[ 2.8106475]
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[ 0.81985764]
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[ 0.08844539]
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[ 1.2775501]
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[ 1.39452517]
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[ 1.11241439]
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[ 0.14410998]
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[ 0.41613145]
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[ 0.19505347]
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[ 2.22877905]
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[ 0.21192542]
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[ 1.70321918]
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[ 1.19737359]
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[ 0.86920956]
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[ 1.5718638]
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[ 0.06326325]
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[ 0.69643434]
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[ 0.8823939]
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[ 1.67118522]
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[ 0.62714288]
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[ 0.06648503]
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[ 0.63511979]
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[ 0.3834676]
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[ 0.5342994   0.62316073  0.50750307  0.49348164  0.39526824  0.51541459
  0.6075122   0.44042065  0.32961823  0.50014722]
[-0.34944413]
[ 0.32094645  0.57846324  0.49157144  0.42361942  0.6196409   0.43007832
  0.45491541  0.47712981  0.50639741  0.58258797]
[ 0.16286853]
[ 0.25956586  0.38692325  0.76972599  0.35061141  0.42952777  0.6577296
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[ 0.05380153]
[ 0.29416276  0.38343447  0.66284079  0.52009806  0.24203915  0.42826698
  0.62717103  0.4423731   0.44677951  0.62769382]
Progress: 43.1% ... Training loss: 0.661 ... Validation loss: 1.170[ 0.22386874]
[ 0.48493328  0.34164036  0.64994985  0.3709041   0.51512348  0.27369334
  0.50421465  0.4293774   0.43945785  0.46006093]
[ 0.31057405]
[ 0.27365509  0.41798329  0.79719094  0.49763272  0.15671576  0.70037417
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[ 0.97170335]
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[ 0.87051469]
[ 0.59536439  0.65445979  0.48544956  0.4359056   0.56999512  0.2606538
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[ 0.31011737  0.48911363  0.66783913  0.45107013  0.29826481  0.55655117
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[ 0.23136529]
[ 0.49137768  0.56350165  0.42978604  0.46915508  0.45863871  0.30753905
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[ 1.10705402]
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[ 2.47832105]
[ 0.52267393  0.72572848  0.51327661  0.33337605  0.63191474  0.40145041
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[ 0.74011494]
[ 0.60665901  0.6436474   0.40830671  0.45125394  0.52498442  0.44266268
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  0.65452384  0.4257124   0.43198185  0.4795471 ]
[ 0.77242094]
[ 0.58018072  0.56308224  0.51136535  0.54588082  0.30578903  0.45617256
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[ 0.69195299]
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[ 0.28936947]
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[ 1.77623561]
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[ 0.24119272]
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[ 1.83128922]
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[ 1.10907405]
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[ 0.12974076]
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[ 2.90539821]
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[ 0.13885722]
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[ 0.25168206]
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[ 0.39885481]
[ 0.58250685  0.5985281   0.42308025  0.45404596  0.63990045  0.43171066
  0.6425308   0.43346155  0.3989045   0.50688509]
[ 0.57036066]
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  0.63209615  0.53837479  0.27977934  0.5164096 ]
[ 0.37443282]
[ 0.57192224  0.63819119  0.41730555  0.50270412  0.49288885  0.35477659
  0.54721228  0.49411477  0.4218895   0.44180321]
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[ 0.60162316  0.64947885  0.50180506  0.44775792  0.28832908  0.48829934
  0.48778346  0.43502364  0.40637252  0.65066104]
[ 1.37598829]
[ 0.35775816  0.36886179  0.7375248   0.42066575  0.30756076  0.48563905
  0.64180744  0.61016899  0.38313255  0.62222948]
[-0.40677554]
[ 0.57789781  0.53661615  0.57895781  0.45042984  0.66029271  0.58848822
  0.5231434   0.42153887  0.520788    0.46475429]
Progress: 43.4% ... Training loss: 0.661 ... Validation loss: 1.169[-0.32523539]
[ 0.4035616   0.6089219   0.51404124  0.45203934  0.51046695  0.40095869
  0.53590042  0.53227903  0.4247497   0.59517421]
[ 1.66855674]
[ 0.75093106  0.72542525  0.42313443  0.45490426  0.54794863  0.44554856
  0.6028337   0.43867029  0.27887596  0.40629927]
[ 1.12760834]
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  0.68328461  0.26342937  0.28901117  0.29689017]
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[ 0.54219032]
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[ 0.68565039]
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[ 0.30638859]
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[ 0.59114161]
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[ 0.06115122]
[ 0.47956092  0.58021654  0.5322652   0.39141088  0.48403497  0.41654693
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[ 1.3339517]
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[ 0.48912832  0.52609785  0.50442253  0.49755273  0.42083958  0.49160804
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[ 0.55362073]
[ 0.29804362  0.35913344  0.6756651   0.56556563  0.26521242  0.50258238
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[-0.55915088]
[ 0.64254884  0.7502181   0.31481085  0.29083174  0.85172937  0.19274827
  0.74629008  0.38802557  0.25742116  0.39055999]
[ 0.93992692]
[ 0.4531357   0.71152777  0.46662408  0.40816047  0.67215349  0.3393655
  0.54720131  0.22827408  0.34370124  0.34658943]
Progress: 43.7% ... Training loss: 0.660 ... Validation loss: 1.157[-0.07273669]
[ 0.34825624  0.36769055  0.70413201  0.5208061   0.24555863  0.58811279
  0.38430471  0.62606652  0.68028778  0.6616906 ]
[ 1.88370668]
[ 0.63258386  0.79165113  0.3108594   0.24836497  0.85664479  0.22649111
  0.66009014  0.26460677  0.2769233   0.20557065]
[ 0.80251985]
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  0.58816509  0.53644824  0.44034044  0.45285139]
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[ 1.29082243]
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[ 0.06277367]
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[ 1.16422203]
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[ 0.339551]
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  0.58957567  0.67340005  0.53395784  0.59148059]
[ 2.45910304]
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[ 0.43305349]
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[ 1.23874958]
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[ 1.50404941]
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[ 1.13157541]
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[ 0.05259066]
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[ 2.07776113]
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[ 0.15701918]
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[ 0.92259559]
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[ 0.12216052]
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[ 0.16145688]
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[ 0.26934765]
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[ 0.39273732]
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[ 1.23393139]
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[ 2.23863317]
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[ 1.89085669]
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[ 1.18981518]
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[ 0.20258442]
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[ 2.89408308]
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[ 0.39266583]
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[ 0.90245832]
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[ 0.27901771]
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[ 0.00331309]
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[ 0.04947943]
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[ 0.98296741]
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[ 1.23832665]
[ 0.51104151  0.59800156  0.56107177  0.38149489  0.60606542  0.52095153
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[ 1.22209459]
[ 0.68451262  0.78251966  0.35692269  0.38735439  0.72968541  0.30906633
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[ 2.46599105]
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[ 0.09407409]
[ 0.25388478  0.36770139  0.72969815  0.63205539  0.22558622  0.737247
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[ 1.89946125]
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[ 0.58547684  0.48630825  0.53602055  0.57987461  0.41802088  0.56917195
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[ 0.35908838  0.43153592  0.77339617  0.41118731  0.43510265  0.5137419
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[ 0.48307804  0.61761928  0.48696327  0.45887334  0.59879409  0.47044195
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[ 0.87807553]
[ 0.56568818  0.65987195  0.45779276  0.34601774  0.71554123  0.40339128
  0.59196016  0.30536606  0.40553076  0.26947485]
[-0.53018074]
[ 0.46881136  0.38302597  0.54490409  0.57681964  0.43747413  0.52362955
  0.50238171  0.40600531  0.5325589   0.52782862]
[-0.85948476]
[ 0.58074104  0.58352276  0.51147772  0.58840823  0.46178552  0.56810451
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[-1.18493172]
[ 0.53667558  0.68336064  0.47967123  0.37008992  0.50215964  0.36542723
  0.56111431  0.52645491  0.44981674  0.46072944]
Progress: 44.0% ... Training loss: 0.659 ... Validation loss: 1.158[-0.43159065]
[ 0.47004731  0.48812931  0.70368069  0.6143235   0.27883055  0.59103861
  0.42802147  0.65609513  0.50219392  0.53148939]
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[-0.18686035]
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  0.56024739  0.57029528  0.58814971  0.52655471]
[ 0.02790304]
[ 0.4251894   0.63285011  0.55460414  0.44506243  0.355682    0.40306297
  0.62231384  0.5871813   0.51701282  0.49864944]
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[ 0.58044693  0.43452674  0.51978154  0.54172849  0.37621866  0.47088534
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[ 1.30230076]
[ 0.46380238  0.54314018  0.49427564  0.37091968  0.6637512   0.3027492
  0.53187436  0.5074816   0.3769932   0.45636912]
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[-0.10509814]
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[ 1.29934118]
[ 0.55879899  0.67095833  0.46316623  0.35575956  0.69259596  0.32409518
  0.74997174  0.53339875  0.24404954  0.43285551]
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  0.5642508   0.64049362  0.45164772  0.59356168]
[ 2.87401835]
[ 0.44503374  0.47491048  0.74240627  0.49793938  0.31199317  0.48917531
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[-0.79125715]
[ 0.41940091  0.52334987  0.54894152  0.4425357   0.70076042  0.28093155
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[-0.96451624]
[ 0.44203061  0.55585905  0.45477252  0.50803603  0.45649939  0.31982614
  0.65337504  0.63439813  0.46189155  0.5107145 ]
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[ 0.42531918]
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[ 0.20419055]
[ 0.56150259  0.68063872  0.37217878  0.43280204  0.7013461   0.41920155
  0.63885861  0.4371452   0.31691752  0.4829882 ]
[ 0.04963573]
[ 0.41616282  0.35467836  0.58501056  0.46215155  0.35465775  0.55003022
  0.52682296  0.55009113  0.58801336  0.57753491]
[ 1.68225742]
[ 0.55316243  0.59125911  0.56249649  0.36069279  0.57190421  0.2678749
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  0.5127758   0.45237729  0.46880011  0.4993709 ]
[-0.12299119]
[ 0.35076315  0.50657972  0.71765442  0.53563428  0.28169793  0.66626227
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[ 0.00341505]
[ 0.35478846  0.41840845  0.72974757  0.4689355   0.32285154  0.65053473
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[ 1.38733859]
[ 0.55427158  0.51841192  0.46696169  0.51020956  0.57878686  0.43110343
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[ 0.09981337]
[ 0.57606464  0.70973153  0.47760574  0.47530079  0.54651822  0.52271494
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[ 1.24285234]
[ 0.68068709  0.81122703  0.28543835  0.39633071  0.75677624  0.31642339
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[ 0.98371564]
[ 0.47101263  0.64576441  0.50668996  0.32705668  0.56680257  0.35695612
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[ 1.73699413]
[ 0.47996059  0.68462543  0.34708117  0.41276818  0.73473078  0.32712383
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[-0.26786065]
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[ 1.27456952]
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[ 0.33298137]
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[ 2.87024231]
[ 0.75177495  0.7855444   0.36652261  0.35444211  0.76329019  0.25445091
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[ 0.01939491]
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[ 0.44806615]
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[ 0.00554074]
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[ 0.25473431]
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[ 1.05892795]
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[ 0.60094229]
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[ 0.39369069]
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[ 0.02373723]
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[ 0.12293175]
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[ 0.68231429]
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[ 0.05029249]
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[ 1.65774455]
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[ 0.79941687]
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[ 2.98878071]
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[ 0.72876679]
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[ 0.67485247]
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[ 0.18624496]
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[ 0.04868921]
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[ 0.1918185]
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[ 0.67426606]
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[ 1.16215914]
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[ 1.56764195]
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[ 0.13429747]
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[ 1.14136579]
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[ 0.68899643]
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[ 1.28724608]
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[ 0.75976264]
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[ 1.1036356]
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[ 0.85797769]
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[ 0.85154089]
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[ 0.02785102]
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[ 0.07957359]
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[ 0.11234186]
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[ 1.29388666]
[ 0.37513823  0.47259584  0.48262655  0.42316187  0.61805804  0.45535253
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[ 2.33486401]
[ 0.6515115   0.78371333  0.38768993  0.3048954   0.71882431  0.28755078
  0.72482627  0.45323076  0.18351551  0.45493798]
[ 0.45793814]
[ 0.59373907  0.80759244  0.38208555  0.35984831  0.69179703  0.33283602
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[ 1.20092636]
[ 0.70186027  0.48329924  0.60186477  0.4441202   0.38294208  0.35459795
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[-1.01359603]
[ 0.49145287  0.51188064  0.58889604  0.43240039  0.64909072  0.48595192
  0.5328239   0.47033954  0.47934082  0.41886866]
[ 1.48302585]
[ 0.68312926  0.83671186  0.35290334  0.45637507  0.67685573  0.32181652
  0.68287162  0.49619796  0.21135529  0.37569358]
[-0.10828907]
[ 0.39079325  0.41843763  0.52662273  0.49855122  0.20725486  0.60305544
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[ 0.34437081]
[ 0.7381799   0.7592193   0.3885686   0.38667578  0.69623768  0.30827035
  0.67066543  0.41832651  0.22406834  0.37786747]
Progress: 44.3% ... Training loss: 0.659 ... Validation loss: 1.138[-0.62816357]
[ 0.49923125  0.75263722  0.35629468  0.57057063  0.2473104   0.458876
  0.69341038  0.70979358  0.40200562  0.66758656]
[ 0.29230255]
[ 0.58480583  0.7449165   0.44642343  0.36503705  0.50615867  0.39146384
  0.44663252  0.42571603  0.41218361  0.45383619]
[ 1.75127307]
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  0.65129122  0.50681198  0.38005486  0.42242908]
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  0.75192428  0.26475341  0.27132331  0.3026468 ]
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[ 0.34527056]
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  0.44261532  0.57211665  0.46605393  0.6253276 ]
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[-0.51564719]
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[ 0.31114221  0.38601077  0.62157591  0.53909512  0.36254091  0.66499191
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[-0.55321754]
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  0.6685712   0.63046184  0.36091117  0.54499666]
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[ 0.55108604  0.69682645  0.35340228  0.43163333  0.58525243  0.37108669
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[ 0.11987149]
[ 0.59556157  0.71076181  0.47671023  0.3711339   0.56167643  0.27188879
  0.71451235  0.41549971  0.30577613  0.3735057 ]
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[ 0.39462741]
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[-0.54563556]
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[ 0.29411196]
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[ 0.67344963]
[ 0.39198431  0.5474185   0.6028301   0.54041584  0.2781105   0.54331616
  0.4788747   0.68059479  0.54165431  0.63783627]
[ 0.1498506]
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[-0.50021559]
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  0.59659995  0.42513988  0.33318451  0.52485611]
[-0.21871969]
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[ 0.1700404]
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[ 0.6269462]
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[ 0.85956583]
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[ 0.54287577]
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[ 2.68421104]
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[ 2.59979348]
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[ 0.24242684]
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[ 0.66020811]
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[ 0.83864185]
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[ 0.68139441]
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[ 0.16035624]
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[ 0.86842389]
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[ 0.74781576]
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[ 0.02148329]
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[ 0.09863712]
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[ 2.01186537]
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[ 0.45980814  0.48670909  0.51378958  0.53634909  0.46916577  0.51392848
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[ 0.09753875]
[ 0.42369063  0.43896704  0.65478327  0.38599932  0.40903123  0.41846639
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[ 0.45255661  0.51588226  0.69286413  0.47995968  0.2913542   0.59637051
  0.44397005  0.62754288  0.47835012  0.58966161]
[ 1.57606155]
[ 0.45699784  0.3885933   0.5175199   0.45626627  0.56143953  0.40804655
  0.42909635  0.40487284  0.47077265  0.49421548]
[-1.00698453]
[ 0.44271305  0.52971311  0.61628498  0.34269115  0.5561554   0.45254114
  0.56991313  0.50422714  0.43420454  0.61681036]
[ 0.21487153]
[ 0.56325609  0.65201334  0.36870642  0.38545291  0.77960091  0.37543088
  0.57132268  0.35227968  0.35101625  0.33940498]
Progress: 44.6% ... Training loss: 0.658 ... Validation loss: 1.142[-0.98560336]
[ 0.54922443  0.56208298  0.43881686  0.52674989  0.53130577  0.46054537
  0.58688472  0.5844024   0.49690463  0.40305805]
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[ 0.6636693   0.72249943  0.31119017  0.372598    0.65330398  0.36902161
  0.67547992  0.43324336  0.38545692  0.37337358]
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[ 0.62416352  0.67048686  0.46054104  0.34842411  0.60890077  0.24923173
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[ 0.42195238  0.4880242   0.69085244  0.41538261  0.44329641  0.50289328
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[ 0.83993996]
[ 0.41925973  0.65404382  0.41406098  0.43004467  0.56208038  0.43120186
  0.57085456  0.59321274  0.43468202  0.48577986]
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  0.5682241   0.52865224  0.43569012  0.58735714]
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  0.54520354  0.58634436  0.56062582  0.6131662 ]
[ 0.32272331]
[ 0.36883197  0.5528575   0.49894616  0.52901807  0.51507312  0.47913666
  0.55687948  0.4431311   0.44143919  0.5482416 ]
[ 0.15965305]
[ 0.44549927  0.55160613  0.61072015  0.3779428   0.50053761  0.59310756
  0.42061692  0.52166493  0.55216184  0.6761226 ]
[-0.44538155]
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  0.6043665   0.33920244  0.38508027  0.54047137]
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  0.4662376   0.71265912  0.50635509  0.5101288 ]
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[-0.62861602]
[ 0.59625584  0.6784945   0.47225088  0.48721431  0.63546238  0.36155151
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[ 1.07475627]
[ 0.57255902  0.69191962  0.56044928  0.29750011  0.74013076  0.38146103
  0.5466893   0.34453583  0.38402269  0.41950182]
[-0.21872655]
[ 0.38974781  0.37004066  0.70656432  0.60037034  0.27672652  0.65417611
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[ 0.99678049]
[ 0.39685729  0.49720673  0.63240012  0.35609334  0.5988602   0.48407958
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[-0.28363181]
[ 0.4309969   0.5563915   0.47173219  0.52361146  0.43432295  0.45485161
  0.62880713  0.58533086  0.54364008  0.38663838]
Progress: 44.9% ... Training loss: 0.658 ... Validation loss: 1.144[-0.77466729]
[ 0.61856311  0.7796599   0.37990842  0.50003257  0.56915417  0.44100396
  0.54733838  0.45122699  0.29586197  0.38952092]
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[ 0.08558244]
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[ 0.13329327]
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[ 0.02951385]
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[ 1.80338789]
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[ 1.05699302]
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[ 0.08278981]
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[ 0.41501138]
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[ 0.4270906]
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[ 0.35607959]
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[ 0.32721359]
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[ 0.75894255]
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[ 0.95913988]
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[ 0.03900272]
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[ 1.22303652]
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[ 1.20014667]
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[ 1.55618466]
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[ 0.05803297]
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[ 1.4141933]
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[ 0.38820399]
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[ 1.0245285]
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[ 0.54649216]
[ 0.63367688  0.5982215   0.34446056  0.43835419  0.73367593  0.30151865
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[-0.8566194]
[ 0.61214231  0.56100214  0.53403173  0.58462089  0.49245931  0.4442905
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[ 0.25498793  0.25421337  0.69728437  0.54050664  0.23135026  0.47702576
  0.56156297  0.63001389  0.57215373  0.65818879]
[ 3.15451008]
[ 0.70441101  0.73418133  0.41183963  0.35490586  0.67903403  0.2202935
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[ 0.50354218  0.74776551  0.42966404  0.23434795  0.74535209  0.3901688
  0.54441875  0.32922215  0.34913378  0.48909218]
[ 0.08618963]
[ 0.24014498  0.37798305  0.7065735   0.58007007  0.26111925  0.57667481
  0.48042966  0.68741911  0.60546901  0.69217041]
[ 0.20868199]
[ 0.32450348  0.35203155  0.68769266  0.50435144  0.23570865  0.62735564
  0.35055055  0.58093416  0.65038183  0.77276096]
[ 1.01647363]
[ 0.71542226  0.79042209  0.25785407  0.26818876  0.86555468  0.2798355
  0.60405844  0.31528139  0.35223177  0.23799107]
[ 0.08666964]
[ 0.43220871  0.59536831  0.58008319  0.38932578  0.37503934  0.42835286
  0.50359631  0.57809424  0.46954651  0.61009395]
[ 1.64406738]
[ 0.31723617  0.44440245  0.68147102  0.50424873  0.38666543  0.64418847
  0.37973226  0.56640202  0.53821169  0.5350097 ]
[ 0.76278728]
[ 0.70489487  0.76044719  0.458823    0.34583244  0.70003628  0.33255692
  0.67052856  0.57444236  0.21950991  0.36890999]
Progress: 45.1% ... Training loss: 0.657 ... Validation loss: 1.150[ 0.8444405]
[ 0.59678197  0.65635781  0.48407118  0.43405493  0.57275515  0.25965595
  0.58994669  0.45862354  0.37163508  0.35042865]
[ 1.70376361]
[ 0.6144684   0.72826308  0.36867608  0.3873892   0.71861551  0.38553243
  0.64468089  0.32459968  0.19753288  0.30352607]
[ 2.18495707]
[ 0.41773771  0.54870681  0.45095389  0.33551361  0.71311026  0.29337174
  0.61992827  0.47108391  0.37289534  0.46664226]
[-0.25727146]
[ 0.42141149  0.57441731  0.65769201  0.35747214  0.30070158  0.52840231
  0.55999579  0.65501626  0.69879037  0.59438411]
[ 0.27618514]
[ 0.37678613  0.54649189  0.57396477  0.63036249  0.19716107  0.66833046
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  0.65183528  0.72837468  0.59955124  0.41392014]
[ 0.57394386]
[ 0.62640165  0.70947144  0.49245031  0.42232376  0.59270249  0.36271834
  0.65050519  0.44110513  0.3114292   0.44826563]
[ 0.06741849]
[ 0.38231417  0.60057053  0.47524292  0.26021419  0.73095428  0.43747855
  0.66838152  0.41406531  0.41430361  0.48681851]
[ 0.11878987]
[ 0.67415629  0.83626524  0.18339371  0.44951432  0.82727876  0.41882154
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  0.51201069  0.2849261   0.40681391  0.50632963]
[ 0.55011567]
[ 0.45618253  0.68767499  0.4564017   0.53151972  0.60805908  0.36854051
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[ 0.48042613]
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[ 0.39993175]
[ 0.51184338  0.52578304  0.49752898  0.52039475  0.47862802  0.45107036
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[ 2.50542781]
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[ 0.40019404]
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  0.54601813  0.74953308  0.48337068  0.6039737 ]
[-0.21811991]
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  0.55707023  0.53863893  0.49620729  0.55222305]
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[ 2.2131848]
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[ 0.96222631]
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[-1.02582613]
[ 0.55853982  0.46979359  0.55645356  0.42978863  0.62843646  0.43948951
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[ 2.1392539]
[ 0.46520669  0.58570891  0.61596495  0.36711215  0.55954142  0.40331361
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[ 2.4626657]
[ 0.55503023  0.86278502  0.36325576  0.29413648  0.78805587  0.22441435
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[ 1.81442609]
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[ 0.28583252]
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[ 1.83898559]
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[ 0.26268012]
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[ 0.12470777]
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  0.60077133  0.33394625  0.5083943   0.28735682]
[ 1.25464136]
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[ 0.09745281]
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[ 0.50244944]
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[ 0.71401607]
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[ 0.44667092]
[ 0.66067131  0.78384453  0.28839187  0.33494828  0.86742364  0.2574952
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[ 0.22232989]
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[ 0.66109443]
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[ 0.057617]
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[ 1.74601582]
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[ 2.08013937]
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[ 0.79671793]
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[ 1.22457714]
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[ 0.57728144]
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[ 0.79527146]
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[ 1.22449305]
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[ 0.79144386]
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[ 0.07352562]
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[ 0.75121975]
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[ 1.46236647]
[ 0.41212758  0.53465864  0.57749409  0.39933522  0.48919285  0.55163122
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[ 0.04876043]
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[ 0.02469347]
[ 0.69386625  0.71954112  0.28837187  0.41080557  0.85813287  0.43203243
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[ 0.32202692]
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[ 0.47319682  0.63575356  0.45003973  0.58672203  0.40529148  0.52733853
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[ 1.92328812]
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[ 0.5967114]
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  0.47653735  0.73015931  0.62784254  0.63959937]
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[ 0.55156999]
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[ 1.27656094]
[ 0.55297568  0.63175213  0.37133008  0.37576734  0.70467661  0.24552367
  0.63368816  0.37829992  0.31364726  0.4037393 ]
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[-0.08121617]
[ 0.66621719  0.67563995  0.4474467   0.3281335   0.69736188  0.19239373
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[-0.3808559]
[ 0.39971473  0.50355824  0.70361294  0.60335803  0.24520859  0.63087775
  0.436885    0.57194603  0.452691    0.56112527]
[-0.39692612]
[ 0.62885908  0.73788274  0.30818163  0.34818727  0.79345932  0.31756023
  0.64604305  0.22516414  0.28778725  0.19020536]
[-0.70515778]
[ 0.69018508  0.75037711  0.27942611  0.38392186  0.77894457  0.43420824
  0.63166808  0.35481659  0.36714666  0.37211281]
[ 0.97111317]
[ 0.29534159  0.40564447  0.57320412  0.62349504  0.32958592  0.65660926
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[-0.38144685]
[ 0.53406329  0.75400649  0.37614845  0.3292131   0.74742865  0.31480257
  0.69259007  0.46264001  0.2847652   0.20289255]
Progress: 45.4% ... Training loss: 0.656 ... Validation loss: 1.141[-0.2776544]
[ 0.56804276  0.4954193   0.59104585  0.52090762  0.49495756  0.49108368
  0.55482889  0.43702591  0.4626819   0.49387123]
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  0.52125528  0.49303523  0.38083008  0.5053743 ]
[ 0.13185082]
[ 0.34665968  0.45576271  0.61586322  0.6479427   0.254975    0.64666157
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  0.68653802  0.33014023  0.34735179  0.48259965]
[ 0.32355359]
[ 0.5005272   0.65603517  0.33090371  0.49933686  0.61608697  0.50788509
  0.51778528  0.34915538  0.43112589  0.44107425]
[ 0.95406585]
[ 0.45378737  0.60160269  0.58544157  0.38091024  0.43700977  0.46264301
  0.47193636  0.46474485  0.44063208  0.54388789]
[ 0.23974434]
[ 0.2496482   0.42456607  0.5761456   0.55921597  0.32767911  0.53547606
  0.41163893  0.56194305  0.63011297  0.70668674]
[ 0.31416384]
[ 0.55966015  0.57462929  0.43805416  0.4887727   0.56100705  0.36734543
  0.50152256  0.41794428  0.52045361  0.36003471]
[-0.22500198]
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[-0.35121058]
[ 0.36532576  0.43214919  0.5225007   0.59932174  0.44862308  0.58841595
  0.52623158  0.68144629  0.60312738  0.60301342]
[ 0.11112808]
[ 0.41983129  0.48489973  0.5909539   0.51150575  0.34394061  0.50948125
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[ 0.76590513]
[ 0.31386178  0.44236797  0.64771824  0.44922012  0.33511662  0.59320567
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[ 0.26810066]
[ 0.34889716  0.47410792  0.65879996  0.36134823  0.42795489  0.40144607
  0.58820165  0.52516173  0.41488092  0.54949595]
[-0.53921287]
[ 0.42651865  0.54245691  0.50329686  0.35989158  0.6652605   0.2626812
  0.64342225  0.6350689   0.37100906  0.4704621 ]
[ 1.75113645]
[ 0.78046502  0.66113552  0.46493539  0.44629672  0.55287435  0.32695242
  0.5912333   0.47399385  0.27834198  0.38937171]
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  0.5495256   0.59521075  0.5958432   0.72879062]
[-0.66354888]
[ 0.40512126  0.56624859  0.48236933  0.39733882  0.44426639  0.34334429
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[ 0.11663772]
[ 0.59470119  0.63115788  0.40683629  0.42496752  0.67566518  0.31762471
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[-0.23648852]
[ 0.4182801   0.53133508  0.52508755  0.4885028   0.39989408  0.47378355
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[-0.33461708]
[ 0.47894216  0.45330021  0.61969863  0.39108974  0.44841916  0.45505958
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[-0.77855103]
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  0.52487775  0.52871436  0.48343327  0.44341504]
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[ 0.47117282  0.54524516  0.5889772   0.45110065  0.56873719  0.29348729
  0.52499249  0.56674721  0.38706484  0.37928737]
[ 0.03572654]
[ 0.52947391  0.68954018  0.36777851  0.34081858  0.7235975   0.34567166
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[ 0.19481074]
[ 0.44480535  0.56855099  0.61871917  0.47752929  0.34523224  0.53827049
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[ 0.78026383]
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[ 0.01315458]
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[ 2.16440691]
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[ 0.77021375]
[ 0.459211    0.68063477  0.39454491  0.44371172  0.68215191  0.44231023
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[ 0.0418989]
[ 0.45484529  0.36755057  0.62004826  0.58706355  0.46869784  0.54697232
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[ 0.02249395]
[ 0.35483942  0.40151096  0.67205334  0.62269978  0.16345356  0.58608187
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[ 0.18920737]
[ 0.57452298  0.6642853   0.52294847  0.34247525  0.47337611  0.36449315
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[ 2.46952659]
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[ 0.5843455]
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[ 0.08021875]
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[ 3.1955526]
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[ 2.19179269]
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[ 0.77378301]
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[ 0.72008998]
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[ 0.54484248  0.59543632  0.54999817  0.39438118  0.358657    0.36276026
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[ 2.0533304]
[ 0.48630931  0.66951263  0.37023379  0.44396332  0.56809179  0.39572193
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[ 0.1281951]
[ 0.46621089  0.56033071  0.50476517  0.48247628  0.44092409  0.46179845
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[ 0.3655394   0.38191251  0.65561298  0.38054834  0.53890608  0.57430212
  0.5037287   0.48496518  0.52451662  0.55614068]
Progress: 45.7% ... Training loss: 0.655 ... Validation loss: 1.141[ 0.01915007]
[ 0.54268433  0.55521781  0.43760972  0.46891811  0.58538848  0.41683055
  0.50373318  0.42331232  0.44038267  0.37359906]
[ 1.0016918]
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[ 0.29568485]
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[ 0.01864233]
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[ 0.56731112]
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[ 1.76072423]
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[ 0.87140037]
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[ 1.07789422]
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[ 0.97911465]
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[ 0.34385514]
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[ 0.23270211]
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[ 2.01917184]
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[ 0.730633]
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[ 0.04174756]
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[ 2.69568237]
[ 0.61667696  0.69518169  0.45872075  0.3531148   0.64687417  0.32096201
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[ 0.32505552]
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[ 0.42708483  0.47264092  0.64867947  0.60101858  0.43798128  0.56848134
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[-0.14650989]
[ 0.66038055  0.71378951  0.40173361  0.3740977   0.67449918  0.38607484
  0.59612811  0.28338077  0.28131139  0.32502375]
[ 1.61256627]
[ 0.57315779  0.57375146  0.49493163  0.56462713  0.29727718  0.48786022
  0.6052984   0.57969717  0.41194346  0.53680017]
[-0.66393261]
[ 0.40857049  0.45926957  0.70856873  0.39256687  0.44226866  0.55643643
  0.4497428   0.4757656   0.50858743  0.60767752]
[ 0.11445628]
[ 0.22878932  0.18427489  0.8102998   0.48070263  0.18446578  0.55028498
  0.46945744  0.67317689  0.72003833  0.65744739]
Progress: 46.0% ... Training loss: 0.655 ... Validation loss: 1.134[-0.19395384]
[ 0.64511128  0.66385447  0.44429142  0.40198117  0.67763412  0.40861068
  0.59883228  0.33021832  0.32745943  0.32318633]
[ 0.05819428]
[ 0.50994608  0.55089356  0.60198589  0.55849296  0.18839151  0.61889546
  0.51242012  0.70548953  0.60920026  0.65679611]
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[ 0.992538]
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[ 0.62766337]
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[ 0.93239492]
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[ 0.14697946]
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[ 1.10909485]
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[ 0.21611249]
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[ 0.47105168  0.63768883  0.43166549  0.36753209  0.7277199   0.21367627
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[ 0.18884123]
[ 0.39060382  0.38822975  0.53894537  0.57889863  0.29932311  0.56143875
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[ 0.32067914]
[ 0.27445885  0.23819721  0.72797242  0.55757327  0.12917112  0.74641338
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[ 0.18709494]
[ 0.49152107  0.61216019  0.45515772  0.4953439   0.47972521  0.37648318
  0.61491458  0.50043684  0.46593768  0.52104293]
Progress: 46.3% ... Training loss: 0.655 ... Validation loss: 1.154[-0.69586663]
[ 0.67185703  0.82182586  0.27457088  0.35747414  0.83152522  0.28057145
  0.74354174  0.44222057  0.26263244  0.4130267 ]
[ 0.5015675]
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[ 0.26277502  0.34075251  0.62048177  0.6089669   0.35940032  0.74420539
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[ 1.31882893]
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[ 0.79410844]
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[ 0.80415414]
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[ 0.05055583]
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[ 0.19818624]
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[ 0.34294996]
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[ 0.4492351]
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[ 1.5626145]
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[ 0.36480114]
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[ 0.15208194]
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[ 0.89372862]
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[ 0.23239951]
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[ 1.75620226]
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[ 1.34736728]
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[ 1.43488957]
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[ 1.31373973]
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[ 0.38955916]
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[ 1.61532651]
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[ 2.91935698]
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[ 0.87468743]
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[ 0.63331934]
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[ 0.35484638]
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[ 0.24399306]
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[ 0.11978382]
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[ 0.56180985]
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[ 0.13499638]
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[ 0.76813341]
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[ 0.741211]
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[ 0.27920194]
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[ 0.35321546]
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[ 2.96796756]
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[ 0.41020386  0.52224877  0.59030141  0.35566083  0.541759    0.36629022
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[ 0.55851896]
[ 0.58164801  0.5227942   0.39618399  0.51369669  0.58936329  0.42869649
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[ 0.98903141]
[ 0.3681556   0.57482786  0.48722936  0.4376815   0.49269496  0.53887643
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[ 0.33997908  0.48052834  0.6011481   0.5152561   0.34671845  0.65545305
  0.45583799  0.64998455  0.58739515  0.5154158 ]
Progress: 46.6% ... Training loss: 0.654 ... Validation loss: 1.157[ 0.01791465]
[ 0.65821649  0.76240735  0.38766908  0.31830209  0.85082933  0.28241991
  0.62489516  0.41516562  0.2538847   0.29796116]
[ 0.87620198]
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[ 0.30828197]
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[ 0.09866336]
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[ 0.62842628]
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[ 0.44791048]
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[ 1.12814297]
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[ 0.86597061]
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[ 0.17107451]
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[ 0.55779654]
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[ 0.96500909]
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[ 1.10887237]
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[ 1.26838707]
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[ 2.70545695]
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[ 0.02845966]
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[ 0.16203679]
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[ 1.94553664]
[ 0.75453214  0.74885808  0.39839615  0.45347876  0.54343297  0.44825719
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[ 1.10840148]
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[ 0.75384884]
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[ 2.63001066]
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[ 0.6618592]
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[ 1.48521497]
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[ 0.16951624]
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[ 0.90917422]
[ 0.46438441  0.58476867  0.57301781  0.42872964  0.49124131  0.57563434
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[ 1.98163715]
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[ 2.63001066]
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[ 0.54037678]
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[ 0.71595292]
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[ 0.09866336]
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[ 0.14234418]
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[ 0.50817618]
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[ 1.57228108]
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[ 0.04307705]
[ 0.60320092  0.59273369  0.37730967  0.42845315  0.6208115   0.30846718
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[ 0.42138386]
[ 0.35282481  0.39598061  0.55081652  0.69369354  0.22443457  0.60230964
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[ 0.56631579]
[ 0.37365286  0.5243912   0.5249261   0.47893652  0.49622272  0.53624121
  0.41898856  0.57696196  0.59929814  0.5878291 ]
[-0.75344954]
[ 0.6176418   0.67223417  0.54237305  0.39528622  0.5572874   0.36256855
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[-0.86799601]
[ 0.57646372  0.75166433  0.497299    0.46848197  0.56138822  0.3748578
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[ 0.54859638]
[ 0.46659012  0.66280582  0.48582231  0.35996709  0.53627974  0.55075188
  0.45002676  0.53316394  0.48991377  0.54050442]
Progress: 46.9% ... Training loss: 0.654 ... Validation loss: 1.171[-0.46072235]
[ 0.63227622  0.64257674  0.47314181  0.35821445  0.52670668  0.42972629
  0.45619146  0.41071467  0.45598691  0.53982509]
[ 0.24526665]
[ 0.5282591   0.52079406  0.64456298  0.42242801  0.36880339  0.54730163
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[ 0.15060166]
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[ 0.51306359]
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[-1.15382028]
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  0.54285026  0.50457086  0.36942291  0.53421325]
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  0.52927257  0.55463776  0.43734743  0.51017176]
[ 0.72537383]
[ 0.62317278  0.68533879  0.36435213  0.35252843  0.73742166  0.28636583
  0.71374158  0.3996139   0.20554059  0.36629429]
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[ 0.39051033  0.47671497  0.59442063  0.49350949  0.47864535  0.48210725
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[-1.66238032]
[ 0.58516568  0.72847985  0.30385071  0.31649808  0.81356699  0.35027143
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[ 1.93842282]
[ 0.35571939  0.52930087  0.51988717  0.40474752  0.63365586  0.40278217
  0.58422695  0.60140109  0.43710344  0.5245993 ]
[ 0.09047487]
[ 0.38008275  0.46438984  0.59183888  0.40762634  0.34224871  0.59435801
  0.51928001  0.61089951  0.71688608  0.47201272]
[ 0.02948757]
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  0.43147478  0.65881521  0.76064345  0.56049378]
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  0.44507895  0.41399255  0.34354354  0.40128458]
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  0.65372953  0.44859986  0.34589253  0.38692797]
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[ 0.30970195  0.38397851  0.6230035   0.54080386  0.35927406  0.66609054
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[-0.54567641]
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[ 0.18744212]
[ 0.47242319  0.45651439  0.58913975  0.49192658  0.19243963  0.55358695
  0.63589073  0.59857304  0.47846607  0.79732081]
[ 1.46933382]
[ 0.48798777  0.5691668   0.49416981  0.59409808  0.36622018  0.52547488
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[-0.31749032]
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[ 0.67821016]
[ 0.29718927  0.3062536   0.75395065  0.47940515  0.27841411  0.52765177
  0.44513371  0.62539098  0.64473602  0.62556204]
[ 0.02813331]
[ 0.34601792  0.42601118  0.63908199  0.45477908  0.43939717  0.45374816
  0.49047614  0.61848988  0.59193837  0.4762406 ]
[ 0.71349428]
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  0.69990122  0.22871717  0.23797393  0.34546979]
[ 0.85319491]
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[ 1.7189839]
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[ 0.68022089]
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[ 0.8972292]
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[ 0.94013285]
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[ 3.01556612]
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[ 0.70292161]
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[ 0.75467803]
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[ 1.07564685]
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[ 0.02252338]
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[ 0.21113709]
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[ 1.1863345]
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[ 0.7532366]
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[ 0.01983166]
[ 0.38757549  0.32888805  0.76756738  0.50382237  0.13600631  0.6330309
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[ 0.51013643]
[ 0.62752396  0.72619461  0.41933116  0.44958869  0.71012758  0.45592671
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[ 0.70540252]
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[ 0.52866419  0.64655507  0.34360098  0.53452158  0.55882676  0.39040312
  0.66649071  0.6424774   0.43585675  0.54653747]
[-0.36213327]
[ 0.26325125  0.46105544  0.64889368  0.512043    0.38122821  0.61384769
  0.47578517  0.69166291  0.54871658  0.60081125]
[ 0.63821696]
[ 0.45317778  0.65066437  0.52195356  0.43107325  0.50801114  0.4217395
  0.55220024  0.66376394  0.31753661  0.47977942]
[-0.00960653]
[ 0.67811455  0.7506557   0.38295476  0.29997211  0.79055774  0.18682008
  0.67011356  0.37581184  0.23518904  0.39363493]
Progress: 47.1% ... Training loss: 0.653 ... Validation loss: 1.159[-0.17109941]
[ 0.41517502  0.4412775   0.64418251  0.58852856  0.18474426  0.6657259
  0.5261882   0.69110984  0.59234716  0.66797039]
[ 0.09215212]
[ 0.4277772   0.62457212  0.44515605  0.3896401   0.47871427  0.50844724
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[ 0.40317121]
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[ 0.69232516]
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[ 2.19441811]
[ 0.4192397   0.55052291  0.44955644  0.33395786  0.71496245  0.2923535
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  0.4292156   0.61688716  0.5897104   0.74546437]
Progress: 47.4% ... Training loss: 0.653 ... Validation loss: 1.171[ 1.23510452]
[ 0.33537054  0.48161947  0.62888964  0.63519497  0.16924703  0.65703952
  0.46551372  0.63037335  0.57694599  0.65611445]
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[ 0.62686753]
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[ 1.6631192]
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[ 0.69142068]
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[ 0.47561726]
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[ 0.17208412]
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[ 0.03574044]
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[ 2.60844504]
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[ 0.66814848]
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[ 0.16930664]
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[ 0.03478122]
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[ 2.47175032]
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[ 0.31521437]
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[ 0.05688031]
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[ 0.33000727]
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[ 0.0285843]
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[ 0.5754512]
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[ 0.00722898]
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[ 0.4514049]
[ 0.53191924  0.56904711  0.62948988  0.51118352  0.41898823  0.46955844
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[ 3.09189938]
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[ 0.51250788]
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[ 0.51598372  0.68879982  0.43417483  0.48331908  0.51993171  0.43030897
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[ 0.71628248  0.77274992  0.30377437  0.40764369  0.78226887  0.21986572
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[ 0.47665531  0.67184747  0.45486626  0.37438415  0.5812074   0.38403379
  0.59779794  0.39223681  0.29623023  0.4094319 ]
[-0.53089774]
[ 0.37157106  0.69833471  0.35097573  0.49600864  0.44951205  0.2811123
  0.66360663  0.54691026  0.40844146  0.53100543]
[ 0.56687412]
[ 0.46699591  0.66330731  0.48547594  0.35950241  0.5370304   0.55035883
  0.45030175  0.53285171  0.48942383  0.54001539]
[-0.34018542]
[ 0.60307142  0.6293218   0.43963209  0.43859321  0.61831145  0.39818006
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[ 0.38786408  0.70935416  0.4975225   0.41976072  0.51157814  0.4754881
  0.46633335  0.48049655  0.52334486  0.47333449]
Progress: 47.7% ... Training loss: 0.654 ... Validation loss: 1.178[-0.43600273]
[ 0.4391865   0.53252173  0.60868974  0.49097455  0.3093823   0.50291473
  0.50726033  0.71295521  0.6397471   0.56722697]
[ 1.10457807]
[ 0.39670807  0.4153638   0.58594213  0.49163478  0.43565693  0.60734557
  0.58607467  0.65688454  0.57110604  0.55269964]
[ 0.65352573]
[ 0.63385144  0.60306508  0.53419503  0.4079594   0.60842006  0.29751754
  0.57622802  0.50024848  0.25866475  0.39256086]
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[-1.46488738]
[ 0.57985366  0.61410357  0.4666282   0.38696425  0.79705356  0.27522137
  0.67100377  0.46370335  0.42256704  0.35758577]
[ 0.24372413]
[ 0.2629948   0.33645587  0.72345247  0.41953156  0.3026117   0.50060232
  0.42191397  0.59770925  0.58951816  0.75869986]
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[ 0.19423565]
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[ 0.35250979]
[ 0.52470502  0.72902085  0.45265294  0.35001556  0.52981574  0.3908518
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[ 0.48612681]
[ 0.48298036  0.5774952   0.65009843  0.3913618   0.50327981  0.4822149
  0.44262996  0.46777081  0.3833968   0.52199475]
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[ 0.23666462]
[ 0.32823279  0.34986427  0.7401576   0.52094909  0.2292121   0.63320413
  0.37058191  0.7125852   0.74359802  0.71658138]
[ 0.58961626]
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[ 0.26214054]
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[ 0.90252872]
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[-0.25029236]
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[ 1.55498884]
[ 0.53053357  0.55262065  0.52147306  0.39373351  0.43991628  0.28707241
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[ 0.29139709]
[ 0.5634779   0.73951657  0.29731285  0.41584572  0.7451882   0.41158121
  0.61668909  0.27025431  0.24789531  0.34537745]
[ 0.54763453]
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[-0.76886916]
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[ 1.1901832]
[ 0.50456305  0.75639756  0.36523501  0.41567407  0.74354465  0.28507285
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[ 0.40081756]
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[ 0.1065912]
[ 0.37224564  0.51865988  0.6983534   0.47997288  0.22624868  0.61986125
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[ 2.02684631]
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[ 1.24080189]
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[ 1.63550584]
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[ 0.16440654]
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[ 0.3701114]
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[ 2.36911283]
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[ 1.53135204]
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[-1.53689913]
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[ 1.24623332]
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[ 1.24287674]
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[ 2.36334058]
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[ 0.67188595]
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[ 0.42951145]
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[ 0.94992138]
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[ 2.54348904]
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[ 0.54601526]
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[ 1.49968548]
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[ 1.27431456]
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[ 0.19038926]
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[ 0.53645206]
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[ 1.30590281]
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[ 0.25205665]
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[ 0.03058411]
[ 0.51274235  0.51476153  0.59065621  0.54679524  0.30712919  0.5760398
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[ 0.40019428  0.6556869   0.61790605  0.49792189  0.26688393  0.57381928
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[ 1.29897519]
[ 0.4152584   0.5625744   0.53934076  0.49319435  0.62138485  0.34779904
  0.62026344  0.52710367  0.45639301  0.42766721]
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[ 0.39339945  0.6330959   0.61130636  0.36056548  0.51699781  0.40966039
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[ 0.46711454  0.52770318  0.64760862  0.39486972  0.30325292  0.33610008
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[ 0.17016604]
[ 0.28593073  0.43037853  0.65020861  0.53786335  0.37467329  0.5635263
  0.47154299  0.69252062  0.67563713  0.5868468 ]
Progress: 48.0% ... Training loss: 0.653 ... Validation loss: 1.174[ 0.03472809]
[ 0.34867688  0.34563116  0.64861545  0.46537908  0.20439777  0.49744779
  0.69423267  0.67327714  0.52400887  0.76539926]
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[ 0.77120323]
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[ 0.22696484]
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[ 0.32928825]
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[ 0.53903418]
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[ 0.33816022]
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[ 0.29347259]
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[ 1.52518277]
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[ 0.03880316]
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[ 1.38814457]
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[ 0.41793977]
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[ 0.18213758]
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[ 2.66260554]
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[ 0.40421499]
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[ 0.00023206]
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[ 0.11657034]
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[ 0.60250889]
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[ 0.07916538]
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[ 0.86609991]
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[ 0.13117937]
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[ 0.46186397]
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[ 0.90633189]
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[ 1.3939215]
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[ 1.7990545]
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[ 0.40137953]
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[ 1.33508859]
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  0.61749268  0.54780438  0.5492477   0.38740859]
[ 2.55253429]
[ 0.60445504  0.75088865  0.45830264  0.32676109  0.76357298  0.27632581
  0.70571504  0.40331973  0.21570197  0.28462166]
[ 1.16600752]
[ 0.405332    0.54234002  0.4833814   0.39679379  0.60136355  0.3342301
  0.61933528  0.22881231  0.39698727  0.29579394]
[ 2.51765721]
[ 0.66321294  0.76171158  0.47604246  0.30113509  0.764818    0.26407875
  0.66125859  0.46828616  0.19007865  0.20699544]
[-0.06145577]
[ 0.59274838  0.77998409  0.28183176  0.39114173  0.77837257  0.23714405
  0.67871451  0.47832977  0.25787357  0.40691248]
Progress: 48.3% ... Training loss: 0.652 ... Validation loss: 1.171[-0.8958229]
[ 0.44168594  0.50971396  0.55345351  0.44154245  0.57073611  0.35648573
  0.62278679  0.71363698  0.59745459  0.41197117]
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[ 0.23852736]
[ 0.45015127  0.61947984  0.55486259  0.47682081  0.4110104   0.61657103
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[ 0.9035632]
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  0.47740418  0.33283424  0.38982996  0.52524381]
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[ 0.67646376]
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[ 2.27157307]
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[ 0.13623314]
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  0.44167179  0.61121192  0.66253288  0.70374693]
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  0.5548014   0.65053853  0.44859681  0.58235869]
[ 1.50737574]
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  0.42375503  0.48052729  0.46165633  0.58148883]
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[-1.12522839]
[ 0.53163638  0.65392305  0.54860424  0.42043706  0.5866266   0.46390422
  0.46838304  0.3944933   0.43836471  0.41489765]
[-0.94367797]
[ 0.48913237  0.5478196   0.53251235  0.48258197  0.56357248  0.51529851
  0.47644014  0.41466938  0.50913481  0.35130376]
[-0.21691141]
[ 0.46060998  0.65512662  0.54396627  0.34363307  0.59680008  0.54442449
  0.44239854  0.33582649  0.44037656  0.37697922]
[ 2.37412429]
[ 0.41371955  0.62244043  0.44038521  0.39039057  0.71327756  0.395478
  0.5715232   0.38964096  0.32608235  0.4879218 ]
[ 0.06899751]
[ 0.37122876  0.3409831   0.61625472  0.51993868  0.42870035  0.51439956
  0.4523849   0.54992593  0.59188313  0.5132954 ]
Progress: 48.6% ... Training loss: 0.652 ... Validation loss: 1.173[-0.0056462]
[ 0.31446708  0.46248444  0.50837248  0.55491471  0.36669458  0.61986945
  0.48266653  0.60752842  0.59230592  0.6112669 ]
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  0.5129685   0.22986476  0.36630158  0.39920309]
[-0.16032578]
[ 0.51547708  0.69569537  0.4868564   0.42122216  0.59438778  0.45397707
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[-1.30355878]
[ 0.65300209  0.58391558  0.41015626  0.53909644  0.64165036  0.43026945
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[ 0.60189683]
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  0.65223469  0.60445771  0.43183223  0.43617057]
[ 0.59197086]
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[ 0.67207603]
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[ 0.8189454]
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[ 0.19940402]
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[ 0.88682715]
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[ 0.10682372]
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[ 0.52758112]
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[ 0.02304796]
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[ 0.33299469]
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[ 0.82009504]
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[ 1.0566539]
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[ 0.0954465]
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[ 0.58979859]
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[ 0.3466]
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[ 0.05132352]
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[ 0.02974361]
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[ 0.86276796]
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[ 0.09194513]
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[ 0.70238521]
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[ 0.24516689]
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[ 0.23204215]
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[ 0.33229635]
[ 0.44455529  0.70155637  0.48035687  0.36758485  0.67725361  0.32449415
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[ 0.57063469]
[ 0.58838441  0.81079691  0.49733557  0.42358432  0.68920059  0.3658927
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[ 0.47164718]
[ 0.51455897  0.74848261  0.35228284  0.36330895  0.73673246  0.34278512
  0.64660988  0.38935299  0.25432636  0.3536569 ]
[-0.44949504]
[ 0.5912543   0.77268311  0.4138923   0.33762207  0.66867069  0.32766743
  0.5923087   0.45069119  0.27860008  0.24240889]
[-0.50040709]
[ 0.66250559  0.61605159  0.40552882  0.51689823  0.54776441  0.4758649
  0.60142021  0.2674706   0.35764422  0.40744923]
[ 0.82649879]
[ 0.45593275  0.42833682  0.60356177  0.43676006  0.57253516  0.39511694
  0.5401886   0.32285572  0.40105604  0.44746542]
[ 2.29412239]
[ 0.36405685  0.35704096  0.71030682  0.57311004  0.26466014  0.66493272
  0.45989959  0.67000717  0.54506176  0.56039945]
Progress: 48.9% ... Training loss: 0.650 ... Validation loss: 1.152[-0.19887053]
[ 0.54060505  0.67099917  0.27171058  0.46298476  0.66103279  0.56029411
  0.59314381  0.37815988  0.39988394  0.3750202 ]
[-0.72894208]
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[-0.49992721]
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  0.56064953  0.41010616  0.51113389  0.48722172]
[ 0.55548068]
[ 0.44846498  0.57224936  0.59471995  0.43271151  0.43941136  0.52392599
  0.37763675  0.5338977   0.62166206  0.62946506]
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[ 0.31325282  0.30531353  0.55931951  0.55352755  0.28134213  0.66471476
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[ 0.60794092  0.70988297  0.53414963  0.42809896  0.67186222  0.30918015
  0.6837867   0.47205314  0.22389485  0.2929681 ]
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  0.61890791  0.74047541  0.56761922  0.74969582]
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  0.55181899  0.24205023  0.31482505  0.34782289]
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[ 2.03085211]
[ 0.37803698  0.5784406   0.59856389  0.50645825  0.33942174  0.51994969
  0.56947741  0.68753052  0.54745595  0.39996389]
[ 0.38623468]
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[ 0.82347716]
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[ 0.30062178]
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  0.49875377  0.5679293   0.44983196  0.56489408]
[ 2.63748117]
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[ 0.06211114]
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[-1.00697826]
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[ 0.7861549]
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[ 0.05847542]
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[ 0.65207566]
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[ 0.01697933]
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[ 0.42583174]
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[ 0.0330474]
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[ 1.5610042]
[ 0.49900914  0.60761988  0.51649739  0.36174252  0.61280714  0.3834441
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[ 0.40771964]
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[ 0.45376915]
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[ 1.80712172]
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[ 2.10560846]
[ 0.62605212  0.7099232   0.57904277  0.28729359  0.74533055  0.29376185
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[ 0.06753993]
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[ 1.53357923]
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[ 0.33069871]
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[ 0.30232632]
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[ 0.00336756]
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[ 0.04028498]
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[ 0.68396008]
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[ 0.75258276]
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[ 0.53509909]
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[ 1.69873087]
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[ 0.20103432]
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[ 0.13627009]
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[ 0.4964543]
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[ 0.74499562]
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[ 0.46652678]
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[ 0.15706972]
[ 0.49821506  0.74885279  0.46060455  0.31386933  0.69265471  0.39485605
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[ 0.08364319]
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[ 0.70511331]
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[ 0.57986422]
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[ 1.07011097]
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[ 0.52985684  0.66705306  0.58706401  0.44408469  0.42244236  0.45338654
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[ 1.22034467]
[ 0.43990206  0.48910498  0.65058018  0.53593741  0.40332903  0.62982299
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[ 0.45556431]
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[ 2.11305124]
[ 0.29341474  0.40881033  0.64715065  0.49717327  0.28347905  0.62720621
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[ 0.12151673]
[ 0.52032378  0.48601664  0.4555945   0.49495326  0.56253654  0.28662352
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[ 0.50664275]
[ 0.56395138  0.71664271  0.3494946   0.43516374  0.72393612  0.52156181
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[ 0.51129138  0.60527972  0.39463864  0.46196974  0.76283165  0.36097713
  0.64615407  0.35662581  0.35371527  0.34546946]
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[ 0.50676219  0.66829064  0.3723503   0.49879984  0.37409066  0.50861565
  0.55703558  0.70298687  0.59723114  0.56754092]
[-1.30121711]
[ 0.59195464  0.61966443  0.47665182  0.5015199   0.57464375  0.38907386
  0.61261128  0.32150553  0.34082505  0.36483347]
[-0.30920313]
[ 0.41029782  0.45735894  0.49000813  0.65249716  0.2627017   0.47330196
  0.53025144  0.68305207  0.60112199  0.64123651]
[ 0.0878983]
[ 0.41240753  0.45367972  0.54710144  0.45502216  0.49411348  0.33748484
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[ 0.40083779  0.56459453  0.52771957  0.43939327  0.49558274  0.36448297
  0.61512293  0.76046066  0.56207473  0.5288314 ]
Progress: 49.1% ... Training loss: 0.651 ... Validation loss: 1.165[ 1.71639836]
[ 0.58702986  0.51719532  0.55004633  0.50863     0.45973105  0.47407605
  0.56870448  0.41742484  0.4052032   0.45568872]
[-0.15681626]
[ 0.41263239  0.51105078  0.64436996  0.36588407  0.34683027  0.53191051
  0.56407369  0.61905875  0.64020032  0.65601519]
[ 0.78937194]
[ 0.75301038  0.75062212  0.31585169  0.41799749  0.69629708  0.40292298
  0.63667267  0.33788196  0.30581295  0.40085665]
[ 1.41707765]
[ 0.56625083  0.75548743  0.4399316   0.29822918  0.80296105  0.28586483
  0.73995855  0.45727658  0.26010759  0.42623925]
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[ 0.41567151  0.58939683  0.5778755   0.45565181  0.50422137  0.45219968
  0.54106222  0.47485707  0.50345196  0.40849247]
[ 0.11711835]
[ 0.41324971  0.46934814  0.71639976  0.43064918  0.35381551  0.62845888
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  0.39020979  0.47466256  0.44956629  0.5087073 ]
[ 1.64492392]
[ 0.34266137  0.45124576  0.66396517  0.39997786  0.4603897   0.60871169
  0.46411834  0.63805358  0.55517225  0.57430125]
[ 1.04944779]
[ 0.29643358  0.45134487  0.78902333  0.47822461  0.20260431  0.65147653
  0.36347697  0.64511335  0.64847506  0.6591511 ]
[ 0.34710559]
[ 0.48604753  0.74144558  0.2920978   0.47371956  0.64555725  0.46394727
  0.54671666  0.58167085  0.41115117  0.4994462 ]
[-0.16629266]
[ 0.3481974   0.49322736  0.54045643  0.53297335  0.51736068  0.46782225
  0.46453652  0.6070676   0.61263709  0.53831189]
[ 1.82744468]
[ 0.55775542  0.58601584  0.56767492  0.41311733  0.38351405  0.38397521
  0.58799851  0.46329696  0.29112838  0.53506572]
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[ 0.67338091  0.62398828  0.40529912  0.54874708  0.49609626  0.40259054
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  0.50150035  0.35100074  0.44627981  0.33324381]
[ 0.57797202]
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[ 0.73037652]
[ 0.45953614  0.34347022  0.59241589  0.45222823  0.36952022  0.38131886
  0.53721467  0.4581162   0.46465261  0.64618081]
[ 0.54693433]
[ 0.41597606  0.65871404  0.37412236  0.42103155  0.634103    0.35513857
  0.6106369   0.35972519  0.31027371  0.47772256]
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[ 0.26126456]
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[ 0.54011796]
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[ 1.4416477]
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[ 0.11410369]
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[ 0.1063655]
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[ 0.1072224]
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[ 0.25797254]
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[ 0.24812048]
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[ 1.02161613]
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[ 0.80811507]
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[ 1.19767938]
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[ 0.41339058]
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[ 0.18826254]
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[ 0.04861612]
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[ 0.70874471]
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[ 1.03005027]
[ 0.55075477  0.50483328  0.40253129  0.48493985  0.6825027   0.35617104
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[ 1.05431617]
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[ 2.16214355]
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[ 0.17480572]
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[ 0.05701505]
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[ 0.39654193]
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[ 0.00475128]
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[ 1.57667606]
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[ 0.19684779]
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[ 1.11404392]
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[ 1.80775717]
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[ 0.72102201]
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[ 0.00258394]
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[ 1.09205477]
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[ 0.36645862  0.51713654  0.53533208  0.47452733  0.55379522  0.54975267
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[ 0.81510697]
[ 0.35818659  0.56148032  0.51094891  0.4948384   0.48118961  0.37376964
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[ 0.76499442]
[ 0.38986503  0.56111567  0.45819931  0.48979975  0.48360754  0.64319577
  0.46413336  0.61293174  0.50250205  0.64539422]
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[ 0.44182857  0.57086915  0.65233405  0.47385435  0.3473475   0.46673157
  0.4664218   0.57528433  0.47633073  0.57900103]
[ 0.11414526]
[ 0.29977703  0.51275429  0.64279174  0.4333713   0.31040922  0.50890771
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[ 0.71090353  0.87232472  0.14809793  0.43777427  0.89097482  0.28187868
  0.69554295  0.25426912  0.20319462  0.27200879]
[ 0.52133067]
[ 0.68310968  0.61553249  0.32771853  0.41987001  0.671436    0.25988767
  0.52261859  0.35022087  0.3841952   0.36706667]
[-0.32464384]
[ 0.40788278  0.64457327  0.49523229  0.44943727  0.62628757  0.61034713
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[-0.18909057]
[ 0.42527555  0.40783681  0.75265757  0.51620477  0.20458507  0.5960623
  0.46543779  0.53643683  0.41440278  0.5890263 ]
Progress: 49.4% ... Training loss: 0.650 ... Validation loss: 1.154[-0.71127314]
[ 0.35126138  0.45456762  0.57508725  0.44494807  0.58009003  0.59453314
  0.47638271  0.56058448  0.49916492  0.50088348]
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[ 0.36916739  0.59045196  0.59389325  0.4051971   0.35256481  0.54617634
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[ 0.56720412]
[ 0.51567733  0.56655737  0.46671405  0.45404174  0.51268353  0.45104389
  0.49937643  0.51915813  0.5108516   0.63373661]
[-0.04438788]
[ 0.49460166  0.68519926  0.44422428  0.47819648  0.52312931  0.34139383
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[ 0.25612621]
[ 0.32628463  0.39029864  0.66891269  0.39897588  0.29047604  0.46996503
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[ 0.4678468   0.49492244  0.54065668  0.53084704  0.33866256  0.54124192
  0.54215069  0.53867167  0.52473565  0.5222537 ]
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[ 0.65815335  0.69784463  0.52905092  0.36579628  0.62675553  0.26508433
  0.65564177  0.40734498  0.32341551  0.36009806]
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[ 0.35779849]
[ 0.41452973  0.58998737  0.4337439   0.47417465  0.43664985  0.41415684
  0.57046877  0.60418942  0.54023792  0.51256909]
[ 1.3294256]
[ 0.47317163  0.66785121  0.3539449   0.45680656  0.67817805  0.32754678
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[ 0.2864474   0.58651164  0.62658428  0.45805421  0.50081895  0.63179093
  0.45412095  0.6210004   0.41134809  0.46245128]
[ 0.10156033]
[ 0.37441609  0.4984679   0.53907226  0.48050204  0.41842929  0.57689681
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  0.5302215   0.52774909  0.52306802  0.64611935]
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  0.60112317  0.57793475  0.45367634  0.42784909]
[ 0.03297682]
[ 0.36892388  0.66627553  0.57628519  0.37450121  0.59127441  0.304474
  0.50969446  0.44474004  0.36140583  0.47999079]
[ 1.2913613]
[ 0.38528325  0.65630818  0.62839678  0.40856514  0.49691922  0.56722435
  0.43857873  0.48294478  0.44617926  0.48880033]
[ 1.01268622]
[ 0.58998739  0.70091049  0.32811125  0.39986716  0.82665041  0.23987266
  0.6699669   0.37696063  0.35387785  0.32924215]
[-0.4613271]
[ 0.30986486  0.57597742  0.68416759  0.58027561  0.37931752  0.59785283
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[ 0.93234408]
[ 0.50488836  0.68753651  0.62298573  0.27476482  0.45364762  0.43540953
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[-1.15075416]
[ 0.66866079  0.61126327  0.42369176  0.51387174  0.5620951   0.51698142
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[-0.77239722]
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[-0.89130335]
[ 0.47749174  0.63424199  0.41416789  0.49835039  0.60218985  0.3277325
  0.59147924  0.51366627  0.38155294  0.5081762 ]
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[ 0.41392172  0.49545923  0.533416    0.48950423  0.46581086  0.52812385
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[ 0.22814096]
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[ 3.0023285]
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[ 0.80222538]
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[ 1.00768005]
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[ 0.02868403]
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[ 1.80243438]
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[ 0.45897237]
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[ 0.8373835]
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[ 0.14669692]
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[ 0.70364909]
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[ 0.57948466  0.4894866   0.51889752  0.589211    0.42305175  0.41692784
  0.46997791  0.69628383  0.59761998  0.5007066 ]
[ 0.19260599]
[ 0.43445584  0.73294689  0.46446033  0.39016118  0.52293934  0.51221803
  0.46013643  0.68547034  0.44329414  0.52394821]
[ 0.1669054]
[ 0.38764961  0.58326723  0.67594651  0.36492832  0.4254707   0.57487781
  0.42559435  0.40780142  0.42662602  0.60348721]
[ 0.18745072]
[ 0.49101282  0.60218232  0.48566346  0.48166311  0.48329523  0.58178732
  0.44883329  0.562971    0.55469275  0.49255647]
Progress: 49.7% ... Training loss: 0.648 ... Validation loss: 1.140[-1.06596772]
[ 0.49827076  0.78722202  0.57851597  0.33059811  0.60000116  0.32025348
  0.56265424  0.39598649  0.29054194  0.4312074 ]
[-1.12905185]
[ 0.50716013  0.64823897  0.47685373  0.41386965  0.68200177  0.26712391
  0.61557933  0.53405908  0.30626572  0.32749503]
[-0.1882646]
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[-0.4829897]
[ 0.37789912  0.61966211  0.6418734   0.5449947   0.33398447  0.66152603
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[ 2.48044895]
[ 0.59146969  0.74643797  0.36421123  0.30619365  0.81214784  0.28988233
  0.71111721  0.36902095  0.2633447   0.31378864]
[ 1.47875522]
[ 0.53884026  0.56112041  0.4418375   0.38952603  0.7246701   0.3521391
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[-1.14461679]
[ 0.49329063  0.5722035   0.50502048  0.46948444  0.68248589  0.44553887
  0.67003548  0.4727328   0.40287327  0.51505459]
[ 0.11363373]
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[ 0.4851199]
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[ 0.12652611]
[ 0.49754315  0.55368364  0.59369469  0.38082021  0.54931483  0.37695204
  0.4861484   0.38190139  0.40979092  0.41055309]
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[ 0.37602144  0.4546839   0.7208373   0.594728    0.21294146  0.69567927
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[ 0.62532456]
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[ 0.12507533]
[ 0.2920606   0.31233267  0.65081035  0.48996005  0.33954155  0.5924359
  0.42359956  0.47110457  0.64319047  0.66415118]
[ 0.25871894]
[ 0.42846071  0.39060308  0.65313545  0.63668998  0.14596926  0.65614755
  0.4989916   0.59429623  0.54669741  0.69222704]
[-0.30416871]
[ 0.44518631  0.65849628  0.42865392  0.47080642  0.40544319  0.46412215
  0.60532649  0.55854006  0.43866792  0.42304291]
[ 0.66045963]
[ 0.52686772  0.76561127  0.39543706  0.2379479   0.7456307   0.37579794
  0.65904351  0.44904082  0.33645888  0.55321698]
[-0.58426512]
[ 0.35755234  0.5668732   0.54150924  0.47751491  0.48544994  0.61923815
  0.44717368  0.46803221  0.56142483  0.58747023]
[ 0.46787575]
[ 0.40832625  0.60363385  0.48290359  0.44311483  0.49082614  0.4474895
  0.57951385  0.58999897  0.53598443  0.5015239 ]
[ 0.11461542]
[ 0.45166823  0.51487259  0.44774085  0.48541614  0.40404103  0.49170333
  0.49703337  0.54375297  0.53005817  0.58203026]
[-0.40269014]
[ 0.44908321  0.70740711  0.55366494  0.40673388  0.54897157  0.56476928
  0.41876562  0.34566673  0.37981778  0.44467373]
Progress: 50.0% ... Training loss: 0.648 ... Validation loss: 1.143[-0.12158038]
[ 0.45609152  0.50213747  0.58357621  0.46616821  0.27864515  0.58115086
  0.45976034  0.63921912  0.76589202  0.4985033 ]
[ 1.2630173]
[ 0.3554337   0.61134975  0.59408352  0.43240546  0.51396851  0.57775717
  0.49130682  0.61336401  0.39415669  0.51554245]
[ 0.06313941]
[ 0.59253484  0.65547952  0.56576708  0.44428554  0.43821546  0.38046016
  0.45811572  0.50987465  0.53916754  0.38047734]
[ 1.01545389]
[ 0.44750435  0.53368551  0.42932045  0.44687051  0.6612758   0.3376649
  0.67031557  0.38753561  0.39981901  0.44491565]
[-0.35938175]
[ 0.50811756  0.6612437   0.30844822  0.36672833  0.81343003  0.33148894
  0.70664943  0.33049365  0.3250497   0.30071728]
[-0.93686963]
[ 0.45606997  0.6427048   0.53120821  0.49953259  0.49655768  0.54182095
  0.51760841  0.39356409  0.39221018  0.41502931]
[ 0.20322059]
[ 0.64273703  0.71495105  0.3433824   0.38386484  0.70366971  0.21638236
  0.567441    0.4399244   0.31941198  0.36433016]
[-0.37931918]
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  0.60134823  0.82020856  0.53682986  0.63540948]
[-0.69984977]
[ 0.45791329  0.65868532  0.26013363  0.51183231  0.64967133  0.37903075
  0.67777027  0.41407805  0.3763621   0.46523824]
[-0.8560603]
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[-0.90315183]
[ 0.48066875  0.53336409  0.59546579  0.4273902   0.70527581  0.49691995
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[ 0.02958226]
[ 0.535499    0.51567196  0.49080584  0.57486399  0.25650324  0.57938815
  0.57093371  0.58853033  0.57735403  0.65176091]
[-0.62311331]
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[-0.11901145]
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  0.56682801  0.59730541  0.59864647  0.71110303]
[-1.69110511]
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  0.71208317  0.50066728  0.32111831  0.38723445]
[ 0.34429968]
[ 0.38877988  0.55905098  0.50872762  0.43769272  0.46305151  0.57961976
  0.5289065   0.473814    0.50112957  0.49104956]
[ 0.64539418]
[ 0.48078429  0.56426746  0.57380511  0.50874386  0.34356945  0.48648094
  0.4584742   0.57484359  0.47591464  0.6856848 ]
[ 2.32037196]
[ 0.61001909  0.80054466  0.37395784  0.28383938  0.80266552  0.2323774
  0.66862533  0.48325194  0.23163487  0.21694174]
[ 2.34229215]
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[ 0.07048359]
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[ 1.50835264]
[ 0.7492541   0.7755448   0.39828249  0.39799592  0.70828767  0.26559164
  0.74080681  0.45822112  0.19787943  0.36066666]
[ 0.15418138]
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[-0.27155016]
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[ 0.29303481]
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[ 1.77923384]
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[ 1.75717862]
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[ 0.14251557]
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[ 0.28866524]
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[ 1.24058112]
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[ 0.31498696]
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[ 0.19123414]
[ 0.52310551  0.5461169   0.46440169  0.41525786  0.62515434  0.39837772
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[ 1.52547409]
[ 0.47209427  0.71144004  0.37872503  0.41110472  0.56997401  0.34507914
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[ 0.46111526]
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[ 0.11148427]
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[ 0.80622514]
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[ 0.94583274]
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[ 0.12720054]
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[ 0.3759902]
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[ 2.56689708]
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[ 1.20204541]
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[ 1.10459536]
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[ 0.15733944]
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[ 0.96253786]
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[ 2.88030652]
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[ 0.03092626]
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[ 0.36642797]
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[ 0.18512094]
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[ 0.31210377]
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[ 0.6104223]
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[ 0.33949666]
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[ 0.31223981]
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[ 0.17884987]
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[ 1.8526352]
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[ 0.39085922]
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[ 0.5006614]
[ 0.43325153  0.45202563  0.58348862  0.40632904  0.47155357  0.32513761
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[ 1.87356467]
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[ 0.87142487]
[ 0.53561601  0.620625    0.56121922  0.342593    0.55034251  0.40179911
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[ 0.05361574]
[ 0.50801672  0.55850646  0.67759863  0.38186849  0.4848337   0.50787166
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[ 1.64900183]
[ 0.67361386  0.74169596  0.29271449  0.372207    0.83907303  0.15674294
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[ 0.06507308]
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  0.51397212  0.4260354   0.41771071  0.43049041]
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[ 0.33489507]
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[ 0.05456021]
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[ 0.67284241]
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[ 1.5347642]
[ 0.42788891  0.51392578  0.53264538  0.5138889   0.4088373   0.60315477
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[ 0.98764344]
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[ 0.36513368  0.65601087  0.5619651   0.45060805  0.4756382   0.63350537
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[ 0.78129267]
[ 0.53949417  0.61186107  0.43348343  0.59271532  0.5020662   0.52040393
  0.56898454  0.37518849  0.39866212  0.33577275]
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[ 0.48173292  0.64960106  0.52692776  0.46000128  0.34298151  0.60073598
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[ 1.23285295]
[ 0.61850736  0.80443513  0.42233713  0.26221663  0.81705552  0.20203834
  0.60418229  0.34109362  0.25215784  0.31955299]
[-0.08953354]
[ 0.27869388  0.36304343  0.70159405  0.48753227  0.24179225  0.43621102
  0.48861729  0.67064038  0.56966909  0.73981696]
[-0.1510793]
[ 0.40930335  0.43561398  0.59912724  0.48911415  0.54962097  0.34954165
  0.58902146  0.44087483  0.38378723  0.49330267]
[-0.97720058]
[ 0.53204005  0.454736    0.6279624   0.43737298  0.60930118  0.37280977
  0.51501485  0.56456347  0.49919564  0.40740415]
[ 0.04849809]
[ 0.34876979  0.61725677  0.59533256  0.63488211  0.28989499  0.60931217
  0.5921305   0.68403325  0.42962356  0.59162606]
Progress: 50.3% ... Training loss: 0.647 ... Validation loss: 1.130[-0.1043592]
[ 0.42155469  0.43469845  0.61762292  0.41106123  0.29625958  0.48445848
  0.41849209  0.56229643  0.67198233  0.60612916]
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[ 0.28635216]
[ 0.57606328  0.80413853  0.34896434  0.3183178   0.8228003   0.19580223
  0.67828037  0.53725022  0.21093497  0.29412906]
[ 0.05963781]
[ 0.386547    0.61852109  0.46205399  0.49841643  0.57854525  0.51735991
  0.59049908  0.57192012  0.33990305  0.45986541]
[ 0.0872283]
[ 0.33496701  0.37840018  0.63257467  0.60837115  0.40216199  0.62969074
  0.41809796  0.68531416  0.65517727  0.60949582]
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  0.6011434   0.57195469  0.48730872  0.50449093]
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[ 0.63442818  0.64220446  0.50812898  0.48275574  0.57789869  0.34030516
  0.6115242   0.42584829  0.31507009  0.36919792]
[ 1.33712449]
[ 0.5304413   0.76965553  0.39136741  0.24569276  0.81407276  0.15386664
  0.67112969  0.40118014  0.26042833  0.39008546]
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[-0.74589173]
[ 0.47413051  0.44140473  0.57875701  0.49258423  0.49748171  0.50389232
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[-0.19279232]
[ 0.34349292  0.34275402  0.65279432  0.56846583  0.25154095  0.61647776
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[-0.45756885]
[ 0.40759707  0.40677813  0.59690491  0.50182197  0.43464517  0.65057473
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[ 0.3816758   0.43488558  0.5126508   0.63971166  0.34882895  0.4978575
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  0.52052541  0.57063097  0.52650175  0.63232649]
[ 1.46340473]
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  0.54439591  0.54462997  0.47861075  0.46641517]
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[ 0.59145515  0.54977298  0.38709915  0.40879119  0.63349249  0.26793398
  0.69337986  0.33530005  0.3515338   0.44882479]
[-0.099217]
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  0.48052405  0.58968449  0.46354467  0.66346335]
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[ 0.00489885]
[ 0.40506479  0.63754403  0.33275834  0.39788287  0.54164198  0.5870999
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[ 0.190133]
[ 0.48855971  0.61663671  0.53634572  0.42343564  0.49453785  0.51248798
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[-0.1461655]
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[-1.042262]
[ 0.65050733  0.77660526  0.30105301  0.41518465  0.80687234  0.43622223
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[ 0.48067666  0.48423335  0.60207855  0.40716884  0.6550576   0.53545105
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[-0.79573575]
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  0.59076021  0.49404958  0.24971081  0.34391764]
[ 0.15868165]
[ 0.36512871  0.51001656  0.50285635  0.46013798  0.48767208  0.44944954
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[-0.68257391]
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[ 1.34575637]
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[ 0.28589746  0.43594562  0.58836646  0.57693314  0.37037157  0.61040401
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[ 0.1936743]
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[ 0.36755519]
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[ 0.09539657]
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[ 0.02787289]
[ 0.45959899  0.48690291  0.57671073  0.40357312  0.54457107  0.35907626
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[ 0.51100549  0.48070097  0.53355882  0.5632683   0.27752138  0.61162023
  0.5773922   0.66320084  0.5532118   0.6892576 ]
[-0.24717888]
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[ 0.48810214  0.5227893   0.50500385  0.49892637  0.41707123  0.49300681
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[ 1.75584135]
[ 0.36529112  0.69271862  0.62938348  0.39238259  0.50950317  0.52338334
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[ 0.0959582]
[ 0.43570774  0.61108013  0.43286512  0.6028942   0.5036002   0.50323201
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[ 1.98370544]
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[ 1.64556826]
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[ 0.879878]
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[ 0.135698]
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[ 0.0830966]
[ 0.45408105  0.70023908  0.61832291  0.36035967  0.58343117  0.44211285
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[ 0.27976654]
[ 0.27897872  0.31205403  0.69855996  0.5551683   0.1911241   0.68588124
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[ 0.87770956]
[ 0.42033457  0.60814278  0.46913027  0.39506031  0.66776428  0.51088208
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[ 0.40196013]
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[ 0.1920009]
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[ 1.37248766]
[ 0.47359707  0.68221316  0.46265361  0.32324904  0.66174243  0.26541524
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[ 0.51512198]
[ 0.53630549  0.62197052  0.28843308  0.43524744  0.63602705  0.31644235
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[ 1.43852869]
[ 0.56898495  0.8348996   0.41748836  0.31532213  0.75447105  0.2803786
  0.6434914   0.37528701  0.24302326  0.41499522]
Progress: 50.6% ... Training loss: 0.647 ... Validation loss: 1.129[-0.43877188]
[ 0.39011025  0.53137921  0.49106454  0.57543173  0.39188385  0.67901733
  0.43591881  0.67612407  0.58102079  0.57619956]
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[ 2.51003926]
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[ 1.76318961]
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[ 2.45010162]
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[ 1.82950447]
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[ 0.20433767]
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[ 1.72065107]
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[ 0.75750728]
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[ 3.04980328]
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[ 0.79321436]
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[ 0.31309261]
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[ 0.38736308]
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[ 2.57345868]
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[ 1.4554812]
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[ 0.4956358   0.73768585  0.44002597  0.40696127  0.61647078  0.37938838
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[-1.09110335]
[ 0.63472616  0.66796804  0.25368593  0.39750568  0.83334959  0.34958792
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[ 0.56419723]
[ 0.41668829  0.61853624  0.55538539  0.44177506  0.49669428  0.57665116
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[ 0.54614522]
[ 0.55582296  0.62759123  0.28724758  0.42729884  0.66139251  0.29124451
  0.68444253  0.43537644  0.37172574  0.42035244]
Progress: 50.9% ... Training loss: 0.647 ... Validation loss: 1.117[-0.18876488]
[ 0.48932411  0.74105766  0.32461136  0.39785254  0.59697569  0.52950974
  0.63668002  0.56508262  0.46221942  0.51800743]
[ 0.96841014]
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[ 1.90370743]
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[ 0.09486632]
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[ 0.4648804]
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  0.54536973  0.67734802  0.50680245  0.69868047]
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[ 0.12364065]
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[ 1.92975176]
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[ 0.05730176]
[ 0.31586265  0.554818    0.47830146  0.42119523  0.45497943  0.51054114
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[ 0.00851597]
[ 0.44651056  0.72768063  0.43480473  0.49550499  0.60101436  0.38211599
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[-0.20296761]
[ 0.46505098  0.6885153   0.40386731  0.59821618  0.27469517  0.56340154
  0.52164465  0.49443056  0.52680445  0.64524599]
[ 1.61933648]
[ 0.37787889  0.62815386  0.35431882  0.52295757  0.48614807  0.61289387
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[ 0.56437235  0.80252279  0.31943028  0.32752505  0.82394852  0.39281102
  0.57005147  0.2350858   0.22068618  0.30541667]
Progress: 51.1% ... Training loss: 0.646 ... Validation loss: 1.111[-0.46565478]
[ 0.34353198  0.53240596  0.5398006   0.51326964  0.31985077  0.59867894
  0.49358601  0.60630664  0.576453    0.59334735]
[ 0.04192804]
[ 0.34004436  0.34352558  0.66350299  0.59359064  0.37113698  0.65182734
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[ 0.28192897]
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  0.33119245  0.68374461  0.62318213  0.67478306]
[-0.14048066]
[ 0.33508322  0.46177163  0.54958294  0.5359766   0.31341233  0.58403437
  0.49695527  0.65052536  0.66723216  0.56678106]
[-0.6353586]
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[ 1.44792033]
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  0.72637913  0.49972635  0.22184718  0.45225211]
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[ 0.1565689]
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[-0.35009282]
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  0.67111348  0.29754902  0.31785141  0.21747162]
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[-0.00625223]
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[ 0.15461427]
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[ 0.8082317]
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[ 0.13449148]
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[ 0.55404306]
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[ 0.04716536]
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[ 0.49703191]
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[ 1.67345309]
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[ 0.04634811]
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[-0.59224558]
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[-0.36270178]
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[ 1.58745546]
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[-0.60062013]
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[ 2.27322062]
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[ 0.36682598]
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[ 0.96743484]
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[ 0.01817359]
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[ 0.0819317]
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[ 0.20645094]
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[ 0.06629961]
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[ 2.10852666]
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[ 0.03546247]
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[ 1.31355327]
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[ 1.95934723]
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[ 1.04565194]
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[ 0.44901468]
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[ 2.05022359]
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  0.74424417  0.54381271  0.23508264  0.40337012]
[ 1.98276837]
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  0.52792108  0.53146292  0.39529718  0.55247481]
[ 0.61008676]
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[ 0.14882367]
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[ 1.68825184]
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[ 0.15595778]
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[ 1.04996075]
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  0.47095031  0.59306138  0.62192676  0.6601147 ]
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[ 1.76538019]
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[ 1.37723845]
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[ 0.05434188]
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[ 0.0858523]
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[ 1.41327747]
[ 0.4887951   0.57040408  0.49341669  0.59295954  0.36748279  0.52465182
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[ 0.46866227]
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[ 0.14454668]
[ 0.34301805  0.51413886  0.70289341  0.50440257  0.22244023  0.68295856
  0.44493926  0.60448794  0.56028531  0.65173924]
[ 0.55466728]
[ 0.2644117   0.36081556  0.70021886  0.48836477  0.20494613  0.56179964
  0.48834933  0.66014907  0.65970469  0.64096861]
[ 0.52374623]
[ 0.58282835  0.52333632  0.39493484  0.51257227  0.58952268  0.42826078
  0.5129872   0.34895262  0.52762191  0.41755904]
[-0.26476534]
[ 0.5371463   0.726894    0.43968445  0.47033228  0.59081173  0.54066355
  0.52924502  0.54183001  0.32069795  0.49542087]
[-0.32551793]
[ 0.57968465  0.63201194  0.47617731  0.48304305  0.4739527   0.47028289
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[-0.11038622]
[ 0.41777504  0.38341824  0.67539741  0.63873091  0.19202289  0.67967187
  0.53305819  0.63169181  0.56916517  0.72101307]
Progress: 51.4% ... Training loss: 0.646 ... Validation loss: 1.111[-0.19757299]
[ 0.65119505  0.62185902  0.4677177   0.44538225  0.42602889  0.44099175
  0.64679911  0.48101689  0.384134    0.54609286]
[ 0.21270374]
[ 0.48758113  0.6896094   0.55970908  0.49424188  0.4536586   0.49543159
  0.47875264  0.48352299  0.41798581  0.59272314]
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  0.73247874  0.58408384  0.40995852  0.48816068]
[ 0.79206]
[ 0.71577404  0.77996808  0.39387619  0.36880209  0.79130616  0.34883515
  0.65522849  0.33447922  0.29700743  0.26746268]
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[ 0.45795751  0.67991004  0.56880938  0.3906167   0.63830575  0.28980872
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  0.71603087  0.65526999  0.45126158  0.52543048]
[ 2.78715601]
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  0.57560526  0.53628961  0.32002402  0.4604305 ]
[ 0.37613962]
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[ 0.0712707]
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[ 0.54514315]
[ 0.63645321  0.65263999  0.35044311  0.44261053  0.70552882  0.27540124
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[-0.57872238]
[ 0.32118324  0.37116674  0.69160911  0.3889909   0.47674208  0.59732591
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[ 0.49303334  0.56055904  0.57138312  0.42576879  0.49162338  0.41898207
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[ 2.47571419]
[ 0.45953846  0.61905041  0.58328457  0.43387465  0.52690586  0.5078487
  0.46558704  0.41536481  0.42695793  0.35701896]
[ 3.45937154]
[ 0.48310142  0.60988834  0.50296815  0.45674688  0.47185516  0.42060281
  0.5812349   0.52164864  0.33741072  0.42230944]
[-0.20320669]
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  0.5017384   0.68548692  0.57178179  0.61002994]
[ 0.50002997]
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[ 0.00233982]
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[ 1.85568214]
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[ 0.66494797]
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[ 0.18736962]
[ 0.33325322  0.59562683  0.69076718  0.45781239  0.41164621  0.56901115
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[ 0.53340063  0.50087221  0.56984555  0.55335303  0.28566101  0.51427235
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[-0.18241896]
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[ 3.43871466]
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[ 1.02595639]
[ 0.35201525  0.46161084  0.63103622  0.55816737  0.40626477  0.6058142
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[ 0.559663]
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[ 0.41773558]
[ 0.46306814  0.53988178  0.51872666  0.48457994  0.33015981  0.52902775
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[ 1.26900202]
[ 0.63126027  0.54756965  0.52839475  0.52290717  0.44455179  0.51872688
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[ 0.92075062]
[ 0.61129832  0.51547443  0.4879364   0.45089762  0.61534105  0.39854504
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[ 2.10564394]
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[ 1.8847337]
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[ 0.18887781]
[ 0.52006928  0.58240282  0.50558445  0.34683228  0.6638253   0.29659186
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[ 0.47184057]
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[ 0.14165399]
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[ 0.45016617]
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[ 0.3455554]
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[ 0.49347586]
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[ 0.04457693]
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[ 0.12688362]
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[ 0.08702902]
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[ 0.14853516]
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[ 0.38529867]
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[ 1.4912766]
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[ 0.67097928]
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[ 0.63250085]
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[ 1.78001866]
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[ 1.06594029]
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[ 0.0817041]
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[ 1.04088875]
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[ 1.70222528]
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[ 0.15962311]
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[ 0.26807828]
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[ 1.11420202]
[ 0.3707306   0.63971998  0.44713025  0.38931469  0.51268742  0.56135002
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[ 1.3938254]
[ 0.44884154  0.64081037  0.39925126  0.41624882  0.69485205  0.31952222
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[ 0.02297665]
[ 0.32261538  0.26241054  0.73702135  0.60170562  0.24867408  0.58957646
  0.47477512  0.65188639  0.71047155  0.61878805]
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[ 0.30839593  0.57300804  0.75427997  0.35826652  0.33179803  0.45904672
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[-1.28325425]
[ 0.69165227  0.65269284  0.38729862  0.52878632  0.5866925   0.44781971
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[-0.0716633]
[ 0.34053946  0.33613823  0.67586953  0.50585233  0.22542459  0.6489145
  0.42426616  0.43757387  0.53230127  0.71500899]
Progress: 51.7% ... Training loss: 0.647 ... Validation loss: 1.097[-0.08522892]
[ 0.34599569  0.52941689  0.53576361  0.38222622  0.3977717   0.55640399
  0.49761619  0.64737348  0.52711899  0.71917205]
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[ 0.1596492]
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[ 0.11227965]
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[ 0.49803698]
[ 0.46520243  0.74025051  0.62705909  0.40612488  0.60175414  0.42053872
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[ 0.55721189]
[ 0.50753523  0.65236606  0.32332545  0.42776494  0.82076542  0.2927805
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[-0.13660043]
[ 0.40901336  0.47683862  0.47186196  0.61402708  0.29935167  0.63619348
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[ 0.55942447  0.79069129  0.403805    0.35497314  0.57314922  0.34586151
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[ 0.79568725]
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[ 0.12131958]
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[-0.90597275]
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[-1.04384785]
[ 0.58617719  0.50720625  0.41634408  0.49625189  0.66401997  0.32063606
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[ 1.01058366]
[ 0.59181976  0.71729142  0.28240749  0.4048137   0.71087165  0.27779932
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[ 0.54997987]
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[ 0.03450358]
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[ 0.29141405]
[ 0.41165098  0.37594399  0.74043204  0.55701031  0.11173171  0.6901217
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[ 2.43926177]
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[ 0.17630228]
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[ 0.44363701]
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[ 1.6793088]
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[ 1.6973529]
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[ 1.38188907]
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[ 1.09411575]
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[ 0.46182939]
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[ 0.49093199]
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[ 0.051319]
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[ 0.2527285]
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[ 1.29841103]
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[ 0.09013207]
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[ 0.33335024]
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[ 0.01005777]
[ 0.47018321  0.66624092  0.44483012  0.29923012  0.83516339  0.29324573
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[-0.83539884]
[ 0.36981691  0.65416088  0.57545662  0.51039445  0.37589216  0.55475235
  0.64341844  0.62143079  0.48906934  0.47575621]
[ 0.43265595]
[ 0.6482302   0.63734596  0.37231768  0.43743278  0.70000423  0.43155337
  0.61163458  0.30612633  0.39375784  0.30819058]
[-0.04518757]
[ 0.35154197  0.52892272  0.6286876   0.50967199  0.31134923  0.65485259
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[-0.0643529]
[ 0.64797241  0.54613378  0.46801039  0.4736363   0.6016562   0.41088816
  0.48130119  0.48167784  0.49216695  0.34530172]
[-0.47494214]
[ 0.44542072  0.70951524  0.40573578  0.42765655  0.55404505  0.42974251
  0.61193549  0.68161933  0.42763449  0.55140169]
[-0.88327972]
[ 0.53911114  0.59700966  0.57770931  0.51644734  0.50085991  0.51868336
  0.5768553   0.40486193  0.36648687  0.42132689]
[-0.0253878]
[ 0.55693623  0.66603324  0.37696463  0.40038691  0.76652869  0.34878451
  0.61341855  0.37573663  0.32574122  0.38629821]
Progress: 52.0% ... Training loss: 0.645 ... Validation loss: 1.101[-0.43522821]
[ 0.63740413  0.732031    0.22387673  0.53206637  0.71114598  0.36266802
  0.64674336  0.28980299  0.39093216  0.36086846]
[-0.75108108]
[ 0.63479353  0.72507806  0.3247797   0.50940631  0.63091915  0.45367444
  0.5601347   0.25584827  0.32218614  0.33011268]
[-0.63494096]
[ 0.39216225  0.58437843  0.50527017  0.41553925  0.60775177  0.38847824
  0.52112599  0.61269436  0.52946024  0.51532899]
[ 1.59966364]
[ 0.55924938  0.59957783  0.55715474  0.35403248  0.58239345  0.26390316
  0.69679658  0.44518653  0.232586    0.26644581]
[ 1.12010585]
[ 0.61026115  0.77593971  0.4384679   0.25189519  0.7931944   0.16760051
  0.68106946  0.36293012  0.19291664  0.37469841]
[-0.32915052]
[ 0.52849895  0.75392971  0.42268634  0.23374876  0.88133581  0.31148419
  0.57348575  0.34334925  0.24354403  0.38074821]
[ 1.69857903]
[ 0.52130136  0.52503369  0.61175944  0.49401387  0.50981583  0.36554946
  0.48436848  0.62272249  0.44185008  0.42460658]
[-0.3496138]
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  0.49715494  0.6696267   0.47669319  0.55132003]
[ 0.64092456]
[ 0.63004948  0.50130709  0.52860777  0.51204608  0.53203195  0.36366962
  0.61960359  0.5118995   0.46120865  0.54485635]
[ 0.27271323]
[ 0.4249692   0.52350788  0.44355622  0.53788559  0.34678696  0.65901844
  0.49162472  0.58359551  0.50327446  0.70797273]
[-0.61122892]
[ 0.46259956  0.48526295  0.52940275  0.48343496  0.57570909  0.41169124
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[-0.86490526]
[ 0.39264468  0.47090555  0.57783689  0.40032795  0.40191488  0.40198764
  0.61374531  0.43174946  0.41854311  0.45288176]
[-0.63281122]
[ 0.58762646  0.65339061  0.35889644  0.38249885  0.74935065  0.33481099
  0.6015417   0.4802716   0.39906051  0.4926826 ]
[ 0.10277524]
[ 0.493194    0.68607093  0.39608089  0.34786294  0.61994338  0.4357271
  0.63517989  0.54041695  0.41002041  0.44842957]
[ 1.97362231]
[ 0.34589729  0.5966044   0.52096474  0.46784512  0.61655032  0.52410485
  0.52798156  0.53133358  0.39536291  0.55236522]
[-0.29119935]
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[-0.09500948]
[ 0.34596338  0.37898404  0.64424367  0.59609463  0.26963377  0.51144326
  0.50529554  0.62173808  0.60280685  0.66167217]
[-0.06666201]
[ 0.4905391   0.67166447  0.4600744   0.4674988   0.58299237  0.5924578
  0.57950152  0.67274925  0.30898863  0.46974765]
[-0.81314221]
[ 0.44239694  0.58420499  0.56266294  0.45924592  0.53588085  0.34518034
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[ 0.53022903  0.64156023  0.45980762  0.37268688  0.70739002  0.43729278
  0.64100277  0.42502549  0.36125411  0.32750865]
[-0.33273228]
[ 0.45125653  0.53566622  0.53978524  0.65033299  0.42544689  0.60533029
  0.57533654  0.50756714  0.42527797  0.57431723]
[ 0.6580775]
[ 0.6364048   0.77617367  0.27925215  0.38520607  0.79291663  0.31505693
  0.59612808  0.42298564  0.4086873   0.3920814 ]
[-0.49425654]
[ 0.47044841  0.67102133  0.51763525  0.37113218  0.72900981  0.33594725
  0.58307256  0.56986796  0.43248962  0.28427513]
[ 0.05793772]
[ 0.4552534   0.47343543  0.65316478  0.50138167  0.22758247  0.58746062
  0.44366045  0.6097523   0.61735569  0.74264066]
Progress: 52.3% ... Training loss: 0.644 ... Validation loss: 1.109[ 0.1426717]
[ 0.24155017  0.18652744  0.80517294  0.49817094  0.20423111  0.47815427
  0.4453327   0.6440706   0.72450235  0.6092956 ]
[-1.11211461]
[ 0.48948669  0.50197431  0.50921068  0.47859488  0.55754032  0.35815133
  0.57474528  0.3441374   0.41873784  0.42360533]
[-0.06161138]
[ 0.44773388  0.7651927   0.30781862  0.4395637   0.64406083  0.26266559
  0.65435298  0.41245917  0.30843802  0.50913348]
[ 2.91167334]
[ 0.67315841  0.68645504  0.50554114  0.32148797  0.6946913   0.30382022
  0.62291825  0.47351115  0.25231949  0.38437135]
[-0.92502934]
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[ 0.02156545]
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  0.49709255  0.48434891  0.49884614  0.63937923]
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[ 0.04599183]
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  0.55350221  0.57896885  0.35659745  0.48771458]
[ 0.47797704]
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[ 0.12385165]
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[ 2.68821681]
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  0.62796502  0.64067115  0.46051104  0.52454364]
[ 1.54893517]
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[-0.59022404]
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[ 0.75721588]
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[ 0.2172413]
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[ 1.79426706]
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[ 1.40473923]
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[ 1.24993077]
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[ 2.5792507]
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[ 0.35369834]
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[ 0.51879133]
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[ 1.35298958]
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[ 1.36167638]
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[ 1.10416441]
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[ 0.30757626]
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[ 0.13570013]
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[ 1.5275356]
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[ 2.00919429]
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[ 0.30781072]
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[ 0.25269292]
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[ 0.63696529]
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[ 3.35865627]
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[ 0.00716105]
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[ 0.53307009  0.64976541  0.44666996  0.35766329  0.66278137  0.38257213
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[-0.4456221]
[ 0.52903372  0.49767709  0.52561397  0.60864228  0.40583281  0.55428419
  0.46013465  0.64020793  0.52178958  0.4562897 ]
[-0.32061772]
[ 0.3941825   0.52541388  0.57147811  0.43246175  0.44950212  0.40155559
  0.61510368  0.40631185  0.46961221  0.41573393]
[ 0.18299519]
[ 0.39249165  0.45513293  0.56626054  0.48137043  0.2705092   0.60189149
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[ 0.65733345  0.61661852  0.40618009  0.39165963  0.74701386  0.26765652
  0.58860961  0.44271292  0.46449636  0.18556757]
Progress: 52.6% ... Training loss: 0.644 ... Validation loss: 1.100[-0.15542187]
[ 0.39478101  0.56489805  0.43022452  0.51217938  0.39909855  0.52306575
  0.61664778  0.69713531  0.63454636  0.52008057]
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[ 0.97934359]
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[ 0.11282056]
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[ 0.15670574]
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[ 0.15203911]
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[ 0.83951495]
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  0.60555693  0.55798113  0.37933229  0.40280209]
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[ 0.65035037]
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[ 1.12570935]
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[ 0.46060031]
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[ 0.22393228]
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[ 0.92435682]
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[ 1.70477041]
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[ 0.47888699]
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[ 0.40929006]
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[ 1.70747213]
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[ 3.04546624]
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[ 1.46990996]
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[ 0.08905069]
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[ 0.00525051]
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[ 0.21003975]
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[ 0.48438602]
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[ 0.01907408]
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[ 0.28948846]
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[ 0.68608288]
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[ 2.06664689]
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[ 0.96353925]
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[ 0.1399659]
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[ 0.00932511]
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[ 0.06656419]
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[ 2.828414]
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[ 0.00893571]
[ 0.39915138  0.44927097  0.53990905  0.5863567   0.22508313  0.67758674
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[ 0.91577604]
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[ 0.13152161]
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[ 1.31066431]
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[ 0.292252]
[ 0.61240289  0.79619026  0.25063605  0.51040981  0.7571156   0.41535573
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[ 0.16367062]
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[ 0.45732033]
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[ 0.95999299]
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[ 0.18771152]
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[ 0.31013406]
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[ 0.22350092]
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[ 0.73429081]
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[ 0.52878618]
[ 0.36757818  0.41827529  0.57594775  0.57043617  0.31089761  0.70773904
  0.42984642  0.7038879   0.59785141  0.64831686]
[ 0.28679239]
[ 0.30910816  0.37416611  0.60650139  0.45222845  0.43962051  0.33150575
  0.54624975  0.25133219  0.44169376  0.4710302 ]
[ 0.68271934]
[ 0.36144     0.47724116  0.61198822  0.41602475  0.43705828  0.5145507
  0.531934    0.59663798  0.46682809  0.58226471]
[-0.73523173]
[ 0.49470903  0.50686208  0.58877307  0.49018412  0.30991376  0.488243
  0.52029718  0.54359344  0.48217842  0.48282545]
Progress: 52.9% ... Training loss: 0.643 ... Validation loss: 1.102[ 0.08709068]
[ 0.27115746  0.44955386  0.70130054  0.59117182  0.23752505  0.60555867
  0.5141733   0.74340603  0.64764477  0.62471512]
[ 0.29539245]
[ 0.46416637  0.62980873  0.53947944  0.38130564  0.38181762  0.44151312
  0.60442664  0.43328894  0.36432874  0.57165938]
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[ 0.69896843  0.70363103  0.32538176  0.5479561   0.58199826  0.39710798
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[ 1.95231896]
[ 0.50356781  0.66971051  0.37490255  0.29164167  0.80776299  0.3147923
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[ 0.08846412]
[ 0.4727231   0.68527228  0.5339472   0.42594037  0.43414491  0.45788933
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[ 1.64104911]
[ 0.64888528  0.77187129  0.38296271  0.28671449  0.85819996  0.17360402
  0.77390724  0.36107822  0.18162041  0.28582046]
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[ 0.68654721]
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[ 2.00721965]
[ 0.55629143  0.80372302  0.35420736  0.32175622  0.73477184  0.30082862
  0.63261495  0.55345772  0.20974999  0.3166633 ]
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  0.65031739  0.33053702  0.30093706  0.24750261]
[ 0.42723082]
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[ 0.88199046]
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[ 0.14435027]
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[ 0.33431894]
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[ 0.05138403]
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[ 0.01312292]
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[ 1.40240381]
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[ 1.51994834]
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[ 0.89253769]
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[ 0.01352516]
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[ 0.70288674]
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[ 0.15585021]
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[ 0.01543536]
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[ 1.17012704]
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[ 1.68998521]
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[ 0.35573161]
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[ 0.24003932]
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[ 0.25268745]
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[ 0.11167901]
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[ 0.54341329]
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[ 0.07591724]
[ 0.64696977  0.68393471  0.28782048  0.45542807  0.79521885  0.31977295
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[ 0.86373976]
[ 0.46811244  0.70690953  0.41027805  0.47334675  0.69209803  0.3490886
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[ 0.61880503  0.66356171  0.40354395  0.35383853  0.57467445  0.30469131
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[ 0.46664875  0.5691777   0.45959941  0.56446228  0.53062554  0.54235175
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[ 0.42171075  0.54819673  0.48826462  0.5081132   0.55168426  0.60999456
  0.4931138   0.43586998  0.42653089  0.44841209]
Progress: 53.1% ... Training loss: 0.643 ... Validation loss: 1.101[ 0.41191687]
[ 0.32470422  0.32887149  0.71691676  0.56053951  0.19262505  0.63708919
  0.38679382  0.69964527  0.80561515  0.68562945]
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[ 0.04612351]
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[ 0.72759159]
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[ 0.65597548]
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[ 0.32678624]
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[ 0.01276948]
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[ 0.21890778]
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[ 0.16648889]
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[ 0.01078994]
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[ 0.8443521]
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[ 0.05070055]
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[ 1.24751247]
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[ 0.27706288]
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[ 0.22661375]
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[ 0.02173884]
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[ 3.12690065]
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[ 0.86369184]
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[ 0.34386171]
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[ 0.75716236]
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[ 0.47726811]
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[ 2.39217827]
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[ 1.71618574]
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[ 0.45932724]
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[ 0.54257214]
[ 0.43805818  0.69172002  0.46647529  0.55078214  0.53693797  0.40379473
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[ 0.53070038]
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[ 1.43456992]
[ 0.43923262  0.41312495  0.56428942  0.45545683  0.58785005  0.50285572
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[ 0.47984592  0.62816229  0.43228085  0.55414933  0.31950483  0.5741887
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[-0.21539281]
[ 0.31156608  0.30789333  0.69157225  0.5820009   0.25788646  0.46601372
  0.53981248  0.67860744  0.59588413  0.62640339]
[-0.06767178]
[ 0.34766766  0.50145427  0.63128039  0.38001671  0.59494194  0.53102757
  0.49872352  0.51306612  0.4032863   0.51983947]
[-0.29131019]
[ 0.51785299  0.67221982  0.40053488  0.42818959  0.6843657   0.30587848
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[ 0.47273896]
[ 0.61397005  0.6858546   0.34070165  0.31437829  0.79447095  0.19071238
  0.69036057  0.37160964  0.25202836  0.39149993]
Progress: 53.4% ... Training loss: 0.643 ... Validation loss: 1.092[-0.51652455]
[ 0.47777331  0.50338873  0.5632764   0.50462605  0.30133144  0.51157788
  0.50481166  0.47682208  0.5130469   0.44969842]
[-1.2490817]
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[ 0.21901523]
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  0.6252869   0.51235739  0.364653    0.53930448]
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[ 0.4708427   0.51465409  0.46846705  0.59904752  0.4649157   0.46430394
  0.56019355  0.6556112   0.50832852  0.56169222]
[ 0.05175804]
[ 0.5474179   0.6406544   0.51418987  0.52034283  0.59483493  0.54620033
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[ 0.29493537]
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[ 0.00489718]
[ 0.35213444  0.35317859  0.753805    0.53701304  0.1488843   0.70304855
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[ 0.531067    0.7240439   0.44638887  0.56648125  0.37203103  0.52101137
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[ 1.50279972]
[ 0.5620267   0.55809876  0.56187388  0.4890287   0.35816374  0.4338438
  0.56579197  0.49836916  0.30852079  0.53763452]
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[ 0.59938405  0.49487442  0.59176933  0.48157417  0.46370349  0.46220691
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[ 0.8082303   0.84704641  0.24139932  0.41545873  0.81285622  0.25405021
  0.73565107  0.34945287  0.3097355   0.32047931]
[ 3.16691486]
[ 0.4836324   0.61481123  0.53400601  0.37548669  0.54353461  0.48538401
  0.59434055  0.50006179  0.34774122  0.43602316]
[ 0.30123139]
[ 0.58141855  0.79157176  0.48232947  0.39749848  0.63331576  0.3870745
  0.43247451  0.42282498  0.30794539  0.39178266]
[-0.60223399]
[ 0.3863972   0.62103741  0.61516125  0.58907892  0.34578082  0.60554481
  0.47923818  0.71711267  0.52228444  0.47389983]
[-0.28297748]
[ 0.52244276  0.3734205   0.61638189  0.50561696  0.40932891  0.3833327
  0.3487162   0.47227738  0.61381714  0.56690294]
[-0.47123584]
[ 0.57383625  0.68642216  0.3279434   0.38829194  0.77999582  0.34491681
  0.63271602  0.32814257  0.32921141  0.34600422]
[-0.0227733]
[ 0.45707832  0.61409654  0.60089931  0.49751448  0.28718395  0.67044135
  0.43093767  0.55867022  0.48575946  0.71099239]
Progress: 53.7% ... Training loss: 0.641 ... Validation loss: 1.107[ 0.05938658]
[ 0.41468282  0.51979611  0.62719914  0.50233519  0.31172696  0.4794276
  0.44144026  0.53541312  0.38504237  0.5853344 ]
[-0.14646816]
[ 0.70919737  0.74463737  0.43209465  0.38496193  0.75445352  0.27698746
  0.60023976  0.44001641  0.24987808  0.2693328 ]
[ 1.2300363]
[ 0.66068735  0.77356621  0.47212684  0.46555181  0.55215119  0.4151697
  0.5695571   0.47353145  0.20493086  0.40260902]
[ 0.27730757]
[ 0.28282502  0.22478332  0.70973064  0.69678734  0.18173927  0.61559913
  0.47354084  0.72556294  0.69019731  0.68887891]
[-0.50241326]
[ 0.36079967  0.5767797   0.49534307  0.57944417  0.55150299  0.67008143
  0.56277263  0.65354475  0.4326612   0.49678028]
[ 0.06859254]
[ 0.603683    0.63222286  0.49006986  0.37512985  0.55878303  0.30691722
  0.73571079  0.3524691   0.26539942  0.42018563]
[-0.08766933]
[ 0.47550868  0.45639815  0.67543759  0.44299761  0.3385074   0.47212287
  0.56527039  0.62492769  0.46145465  0.50956172]
[-0.75481629]
[ 0.53847257  0.56789878  0.6842135   0.3927092   0.47315947  0.46520822
  0.52919555  0.57133392  0.39480468  0.48495042]
[ 0.26331551]
[ 0.5000056   0.62401067  0.42990624  0.43181147  0.72094911  0.22652375
  0.57031355  0.45615669  0.40587145  0.34103904]
[ 1.48629752]
[ 0.20960147  0.5174533   0.69762683  0.44557987  0.36885935  0.60229681
  0.44173171  0.59571869  0.53461046  0.61829873]
[-0.10730577]
[ 0.31715771  0.5216203   0.6169232   0.43908955  0.48372133  0.41804822
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[-0.08417385]
[ 0.40715927  0.39354424  0.66724816  0.45945083  0.22000766  0.55221339
  0.58306735  0.74517277  0.69652017  0.59201871]
[ 0.93347477]
[ 0.5087702   0.6335272   0.54453053  0.3541088   0.59377383  0.50532389
  0.4394302   0.34524331  0.45131882  0.408774  ]
[ 0.17612828]
[ 0.5557998   0.69096626  0.31345268  0.39915362  0.76511292  0.34078227
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[ 0.42187317]
[ 0.36542088  0.42093493  0.76366419  0.47926709  0.14512242  0.62080221
  0.44350435  0.60671265  0.69562008  0.66929521]
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[ 0.34042822  0.39564314  0.53634196  0.53024131  0.34675868  0.44808692
  0.51676659  0.54954669  0.60807068  0.67072456]
[ 0.1276993]
[ 0.44542525  0.62183957  0.42219074  0.398458    0.5701979   0.42143824
  0.65395705  0.43760161  0.38737754  0.37332091]
[ 0.1632434]
[ 0.32732911  0.47429508  0.712051    0.38757055  0.21667049  0.51597312
  0.4302833   0.63792293  0.63997319  0.71680736]
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[ 0.73116493]
[ 0.39471493  0.5995405   0.54609103  0.38534345  0.51920412  0.5959048
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[-0.35716051]
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[ 0.01117931]
[ 0.67635849  0.77799237  0.36960055  0.43253817  0.66344153  0.44563494
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[ 0.07546097]
[ 0.49939931  0.79958514  0.27550287  0.44098261  0.79313683  0.43671872
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[ 1.14639704]
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[ 0.07358243]
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[ 1.36964819]
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[ 0.03619267]
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[ 0.34327337]
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[ 0.58944232]
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[ 2.69416267]
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[ 0.54651754]
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[ 1.37143849]
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[ 1.06939839]
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[ 0.52364925]
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[ 1.31136728]
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[ 0.851466]
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[ 0.35498068]
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[ 1.43696778]
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[ 0.35860662]
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[ 1.9568205]
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[ 2.01174364]
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[ 0.60522931]
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[ 0.07066208]
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[ 0.39948588]
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[ 0.2579906]
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[ 0.79808094]
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[ 0.47511597]
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[ 0.2904089]
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[ 0.66985357]
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[ 0.31501192]
[ 0.21888821  0.36397343  0.79944004  0.47409766  0.18402609  0.68950405
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[-0.06321815]
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[ 0.28179475  0.35036566  0.72477477  0.44533228  0.34045957  0.52374465
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[ 1.31770002]
[ 0.55325438  0.79191845  0.31697338  0.28728301  0.7090967   0.29471633
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[ 0.89748623]
[ 0.41059623  0.41587804  0.69217343  0.54792453  0.31103848  0.65749259
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[ 2.53101952]
[ 0.62326474  0.80171869  0.33215131  0.35350899  0.81475689  0.30843679
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[ 0.43906882]
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[ 0.88050076]
[ 0.68093957  0.68823037  0.39835892  0.40628089  0.61537075  0.41847815
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[ 1.09172105]
[ 0.606976    0.62657214  0.63568035  0.36002582  0.50029269  0.43852914
  0.48348018  0.5028229   0.33883567  0.39776839]
[ 1.8920284]
[ 0.54883128  0.64431421  0.55526427  0.35969468  0.49482015  0.52848377
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[ 1.24974653]
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[ 0.53272022  0.52036387  0.64341453  0.43824776  0.43501658  0.59559477
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[ 0.5072488   0.60083518  0.43835912  0.37399911  0.73829979  0.28696577
  0.58859935  0.26758212  0.35916389  0.34500367]
[ 0.06825794]
[ 0.40863088  0.74267354  0.39741434  0.26892683  0.72842706  0.34020246
  0.64701844  0.368163    0.37610626  0.53925103]
[-0.2126153]
[ 0.39262829  0.34734856  0.61584947  0.55255242  0.43317665  0.50591853
  0.39426877  0.55782369  0.64080615  0.58317808]
[-0.38268123]
[ 0.34978356  0.46682823  0.70820995  0.57615902  0.36758823  0.5710273
  0.54471314  0.7160342   0.62261689  0.44900675]
[ 0.06372878]
[ 0.60283248  0.76722845  0.25057961  0.40055796  0.82879906  0.28527093
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[-0.06257148]
[ 0.38927223  0.38173432  0.58413783  0.44490451  0.46451075  0.42942869
  0.41500072  0.46505459  0.52365996  0.5395404 ]
Progress: 54.0% ... Training loss: 0.641 ... Validation loss: 1.099[-0.46966732]
[ 0.39602309  0.44807844  0.68770866  0.44218683  0.43403411  0.34341858
  0.50834588  0.6332008   0.40037152  0.53490052]
[ 0.05823396]
[ 0.32399205  0.52160748  0.5786104   0.60161709  0.28857271  0.6577072
  0.59111756  0.60323775  0.5438976   0.60439339]
[ 1.10140876]
[ 0.38363559  0.38659179  0.54678182  0.47687205  0.585424    0.40322917
  0.47198108  0.53368129  0.58353288  0.59476839]
[-0.19930907]
[ 0.57697701  0.67836785  0.34179523  0.43612073  0.60637196  0.44811794
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[ 0.87650677]
[ 0.5705652   0.71405718  0.3778781   0.36290937  0.73815608  0.33042583
  0.70174263  0.39169879  0.29314342  0.42526809]
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[ 0.12169178]
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  0.33030621  0.57871962  0.54785716  0.69446331]
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  0.61809559  0.4312565   0.42545221  0.38804401]
[-0.41870093]
[ 0.36855109  0.5824899   0.58613855  0.44547552  0.37948339  0.43667326
  0.48601699  0.70745612  0.6504076   0.5683841 ]
[ 0.10878936]
[ 0.34605711  0.57123779  0.64488701  0.40285857  0.32900554  0.59545589
  0.42110232  0.59587292  0.63694856  0.51089846]
[ 0.69071564]
[ 0.517172    0.65026207  0.52879916  0.44461416  0.32336185  0.5318309
  0.45973413  0.56922429  0.49658475  0.73249165]
[-0.92248357]
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[ 0.45883144  0.54340535  0.41113265  0.56103924  0.37132618  0.56160364
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[ 1.83915514]
[ 0.59075348  0.72336354  0.35309496  0.30234706  0.78649514  0.23972736
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[-0.80005623]
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  0.57650842  0.27275222  0.37036351  0.3612786 ]
[-0.19868615]
[ 0.36101573  0.35591731  0.61837979  0.59299068  0.36744501  0.55294791
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[-0.48321169]
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[-0.84023577]
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[ 0.42955084]
[ 0.30910395  0.49727427  0.50019265  0.41946653  0.57337731  0.35377255
  0.5719271   0.38496464  0.45290624  0.54678241]
[-0.61690747]
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[ 0.74268807  0.76601736  0.30706055  0.46803085  0.65990367  0.3181264
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[-0.73758962]
[ 0.43834709  0.67394949  0.51408152  0.35786314  0.41837829  0.29783275
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[ 0.00781982]
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  0.37559728  0.70204621  0.64187271  0.67855771]
[-0.13520172]
[ 0.36732627  0.44330061  0.5479977   0.43776417  0.41473945  0.41183657
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[-0.8842279]
[ 0.49819785  0.5800052   0.4480592   0.52185496  0.56036634  0.45826897
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[-0.62908056]
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[ 1.25365273]
[ 0.31652756  0.57949126  0.62225688  0.42402232  0.60452549  0.42518969
  0.51862241  0.64034391  0.40958721  0.48976261]
[ 2.73702781]
[ 0.59333576  0.77771881  0.35141951  0.3896729   0.77834716  0.2953583
  0.65354107  0.34302963  0.24529028  0.24867146]
[ 2.04045776]
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[ 0.43065137]
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  0.5566426   0.47142435  0.42497325  0.48521669]
[ 0.27232617]
[ 0.42410358  0.38419755  0.65638683  0.64135258  0.1415717   0.6595894
  0.49613439  0.59749548  0.55254548  0.69656373]
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[ 0.07328923]
[ 0.55407224  0.72869504  0.31477887  0.40808475  0.6871286   0.50284408
  0.54653056  0.33088373  0.32505846  0.36954504]
[ 0.71386879]
[ 0.35447771  0.43642217  0.83122612  0.47302294  0.20352629  0.6229438
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[-0.13165928]
[ 0.60411845  0.65277984  0.50574824  0.36748106  0.51008375  0.36659946
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[ 0.45208507]
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[ 0.22957565]
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[ 1.05721081]
[ 0.53694905  0.66666482  0.49431439  0.42697424  0.60636174  0.37944909
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[ 2.21944485]
[ 0.48309474  0.62372349  0.61344962  0.37467544  0.53975487  0.35136153
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[ 2.25131054]
[ 0.6456469   0.69897371  0.46349145  0.39117738  0.61415194  0.42995634
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[ 0.9795766]
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[ 0.67299298]
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[ 2.98866385]
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[ 0.09839116]
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[ 0.22274957]
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[ 0.77450502]
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[ 2.53909318]
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[ 0.01781079]
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[ 1.7146621]
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[ 0.07459947]
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[ 0.06685438]
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[ 0.02183997]
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[-0.59863582]
[ 0.39650307  0.63828713  0.45289437  0.46903726  0.65195022  0.4325981
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[ 1.85759029]
[ 0.54387175  0.78538076  0.32967611  0.36446591  0.79305773  0.23626707
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[ 0.66964885]
[ 0.57440313  0.78425189  0.2762165   0.41911046  0.73004723  0.39245364
  0.59008869  0.33071623  0.31845407  0.39441967]
[ 1.95821499]
[ 0.35929852  0.53586054  0.52506595  0.49188371  0.44181912  0.61912465
  0.54302446  0.66317844  0.54702055  0.60457566]
Progress: 54.3% ... Training loss: 0.641 ... Validation loss: 1.090[-0.0292125]
[ 0.51237899  0.69548793  0.36948026  0.42479131  0.74977956  0.52501237
  0.54028884  0.54955762  0.40838367  0.39619177]
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[ 0.70330103]
[ 0.37763666  0.36682146  0.5127308   0.47010516  0.44862013  0.4921334
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[ 1.67964249]
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[ 0.17658706]
[ 0.54131562  0.635695    0.51387579  0.39987198  0.45488833  0.48910954
  0.51983332  0.52896924  0.44581431  0.683532  ]
[ 0.95892209]
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[ 0.39146815]
[ 0.37544273  0.45905659  0.58539129  0.34566657  0.56374278  0.39838315
  0.54758179  0.49568014  0.47851436  0.46203181]
[ 2.74106437]
[ 0.60529278  0.67860959  0.45327814  0.30448928  0.74374865  0.27355205
  0.61889769  0.49677272  0.32239915  0.3858578 ]
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[-0.9274815]
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[ 0.09451566]
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[ 0.27904244]
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[ 0.56872004]
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[ 0.69127506]
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[ 0.66475455]
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[ 0.02557463]
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[ 0.23220096]
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[ 1.48869147]
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[ 1.33973879]
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[ 0.37351899]
[ 0.54810455  0.65515673  0.43060394  0.36561758  0.75658959  0.29231528
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[ 0.54298994  0.62865408  0.41581993  0.45872746  0.65868167  0.31201798
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[-0.18466895]
[ 0.33379874  0.37570604  0.60821256  0.5989192   0.28071032  0.64920451
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[-0.41539619]
[ 0.39327801  0.50554766  0.59093256  0.52555197  0.40611525  0.44627502
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[-0.29086558]
[ 0.36787486  0.51590856  0.73845954  0.30426931  0.4543679   0.52389723
  0.3758302   0.41466258  0.53353566  0.493872  ]
Progress: 54.6% ... Training loss: 0.640 ... Validation loss: 1.095[-0.09199855]
[ 0.56556901  0.66687856  0.35315708  0.42040238  0.56473943  0.52568281
  0.47606159  0.24889343  0.37653334  0.45155876]
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[ 0.37696325]
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[ 0.08790434]
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[ 0.33781036]
[ 0.38351699  0.350219    0.65539865  0.4472898   0.34684838  0.44933711
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[ 1.33030191]
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[ 0.55564485]
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[ 0.25258222]
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[ 0.00513413]
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[ 0.12041862]
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[ 0.11417367]
[ 0.38732203  0.52761043  0.654489    0.44156832  0.42061677  0.55176005
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[ 0.62403174]
[ 0.63133077  0.60683333  0.43986557  0.50298826  0.43816897  0.37951532
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[ 0.46615759  0.62207261  0.59178922  0.49845982  0.43467142  0.52272574
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[ 0.04680021]
[ 0.61571391  0.64229649  0.48818288  0.44587539  0.41581551  0.47327527
  0.39325872  0.51274817  0.53879661  0.49121664]
[ 0.54255717]
[ 0.5011824   0.76646531  0.43641315  0.38692782  0.72340007  0.44198301
  0.54993591  0.42002958  0.19588202  0.36100128]
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[ 0.34474138  0.37573823  0.75289466  0.55491357  0.19436555  0.63421359
  0.5209699   0.673635    0.62579748  0.62054158]
Progress: 54.9% ... Training loss: 0.641 ... Validation loss: 1.087[ 1.03619266]
[ 0.36669765  0.55658734  0.56211078  0.40860318  0.45387116  0.52234043
  0.60484105  0.66906942  0.47171642  0.68773778]
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[ 0.51944662  0.74234363  0.4102873   0.31182647  0.77852465  0.16424208
  0.74568665  0.35971968  0.29679888  0.28828893]
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[ 0.5762715]
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[ 0.49096583]
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[ 0.00346542]
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[ 1.31258948]
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[ 1.70147293]
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[ 1.70173252]
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[ 1.63288337]
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[ 1.66632677]
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[ 0.93330522]
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[ 1.05139306]
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[ 0.69278002]
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[ 0.21799542]
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[ 0.35886034]
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[ 0.51665449]
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[ 0.41889245]
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[ 0.14326444]
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[ 0.72284122]
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[ 0.26546411]
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[ 0.12663256]
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[ 0.03394015]
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[ 1.30598397]
[ 0.34327099  0.48367562  0.81661239  0.45021412  0.16973045  0.63808216
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[ 1.31941385]
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[ 0.98854659]
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[ 0.48213573  0.6195947   0.3550311   0.49570222  0.56467808  0.40412553
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[ 0.36695937]
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[ 0.11755201]
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[ 0.78994037]
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[ 0.06489381]
[ 0.40531635  0.55727447  0.6706973   0.33516346  0.55263073  0.59467223
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[-1.44493922]
[ 0.53199259  0.71112378  0.26650539  0.48611227  0.60788595  0.33443204
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[-0.54642149]
[ 0.30267063  0.47847987  0.74131618  0.50949567  0.3632142   0.55906418
  0.4320668   0.63589944  0.42528869  0.53341563]
[-0.34314057]
[ 0.45018427  0.49323947  0.64783634  0.50525742  0.29661214  0.53168261
  0.58597958  0.745681    0.56423991  0.5904579 ]
[ 0.29172903]
[ 0.41149897  0.63862927  0.43296601  0.52528923  0.61375662  0.33799656
  0.61904216  0.45830482  0.42861154  0.52907069]
[-0.79602705]
[ 0.47889193  0.58067841  0.41478302  0.49433064  0.50519453  0.47980166
  0.50235614  0.58403816  0.54148243  0.57745514]
[ 0.44743827]
[ 0.62366678  0.57011406  0.46709656  0.43008465  0.64405978  0.27123367
  0.46441894  0.52723377  0.53372485  0.47032097]
Progress: 55.1% ... Training loss: 0.641 ... Validation loss: 1.083[ 0.45765776]
[ 0.4172092   0.51140165  0.46040424  0.52663908  0.43581292  0.65394506
  0.4834808   0.57656297  0.50250866  0.62646995]
[ 1.32947264]
[ 0.41945528  0.45840863  0.58871562  0.50260163  0.40109936  0.58339452
  0.44361779  0.65139658  0.62330937  0.57438085]
[-0.6826325]
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[-0.20015552]
[ 0.43357102  0.37416138  0.66702244  0.55254316  0.24235974  0.61483671
  0.49005719  0.76053733  0.77038259  0.50613811]
[ 0.00365567]
[ 0.35173958  0.43740871  0.67994342  0.37212186  0.43219641  0.50143005
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  0.4170794   0.67715662  0.61179784  0.52646614]
[ 0.11855141]
[ 0.55575643  0.70507738  0.39301571  0.55056221  0.29065691  0.460054
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[ 0.73477127]
[ 0.57954272  0.45485557  0.56485794  0.43624453  0.47731552  0.29554824
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[ 2.66284887]
[ 0.26423254  0.36325838  0.65353155  0.52044162  0.32250369  0.66633853
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[ 1.17854923]
[ 0.51287459  0.66210923  0.50548037  0.36170208  0.66383201  0.41365658
  0.57272986  0.47008727  0.25387033  0.39842521]
[ 0.755794]
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  0.60822446  0.45101978  0.39265773  0.25280198]
[-0.70048079]
[ 0.46825047  0.6028702   0.35164204  0.46032332  0.59397834  0.46209073
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[ 1.2011693]
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[ 1.67541383]
[ 0.67436043  0.73513728  0.39985819  0.38921452  0.67720368  0.33866866
  0.68595097  0.30536659  0.24752091  0.34235449]
[ 0.57543941]
[ 0.53192987  0.54648143  0.5603996   0.42172379  0.55904595  0.35726381
  0.57630644  0.31865684  0.27667899  0.4089093 ]
[ 0.3268895]
[ 0.32219931  0.35728503  0.74647979  0.39414473  0.25399238  0.51832306
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[-0.86552419]
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[ 1.41263061]
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[ 1.2811729]
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[ 0.02136892]
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[ 0.85966518]
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[ 0.05866272]
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[ 1.5155975]
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[ 0.80805929]
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[ 0.57512519]
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[ 1.25667571]
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[ 0.87740631]
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[ 0.09017157]
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[ 1.60367637]
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[ 0.24835255]
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[ 0.51040937]
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[ 0.72970909]
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[ 0.19605737]
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[ 0.68074812]
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[ 1.55735578]
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[ 0.46541847]
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[ 2.31078599]
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[ 1.67038456]
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[ 0.25727464]
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[ 1.45894236]
[ 0.59387889  0.724683    0.48369574  0.37352024  0.67633297  0.35896714
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[ 1.56677001]
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  0.69843861  0.44289077  0.23044861  0.26399038]
Progress: 55.4% ... Training loss: 0.642 ... Validation loss: 1.075[-0.1615631]
[ 0.53201346  0.63867064  0.37969772  0.43948732  0.62354418  0.39728297
  0.5053098   0.48012956  0.44871677  0.52344347]
[ 0.23660251]
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[ 0.74308923]
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[ 0.13133656]
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[ 1.56255565]
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[ 0.47213935]
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[ 1.79272237]
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[ 0.20688628]
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[ 0.64607752]
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[ 0.088851]
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[ 0.63659063]
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[ 0.25212018]
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[ 0.765963]
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[ 0.66648153]
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[ 1.01801593]
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[ 0.49653083]
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[ 2.5330823]
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[ 1.32753007]
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[ 2.3932142]
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[ 0.82275313]
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[ 1.31631156]
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[ 0.60484772]
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[ 1.2366133]
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[ 1.34923524]
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[ 0.06912832]
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[ 1.11066591]
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[ 1.84859986]
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[ 0.15302609]
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[ 2.00125963]
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[ 0.99931478]
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[ 0.71675095]
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[ 0.19439722]
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[ 0.72858214]
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[ 0.5790682   0.55083754  0.51031587  0.38413753  0.68365765  0.41964314
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[ 0.58328456  0.59513334  0.47141258  0.43755449  0.58606795  0.53018313
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[-0.55669695]
[ 0.53221726  0.76866229  0.36281026  0.32765051  0.73423242  0.32923778
  0.69055156  0.42623405  0.27175666  0.22187151]
[-1.15415309]
[ 0.45808303  0.66418741  0.40860953  0.4928098   0.62518831  0.53829899
  0.56318224  0.52454998  0.43236383  0.39983983]
[-0.99057867]
[ 0.45492848  0.5993371   0.43503117  0.48687917  0.61078245  0.57182608
  0.52217671  0.41891562  0.39533948  0.41476802]
[ 0.33780847]
[ 0.57677295  0.71564257  0.45620824  0.30105343  0.78166662  0.24267741
  0.74357916  0.38863572  0.38475616  0.31472873]
Progress: 55.7% ... Training loss: 0.641 ... Validation loss: 1.074[-0.40037248]
[ 0.36317485  0.3474707   0.6009193   0.54428233  0.29919186  0.469392
  0.55140375  0.53178971  0.5149774   0.65071829]
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  0.74399791  0.50066431  0.31088683  0.5708687 ]
[ 0.13712635]
[ 0.41035182  0.52336531  0.63803521  0.53367055  0.1942898   0.53238704
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[ 0.31701979]
[ 0.45307206  0.44417764  0.60706172  0.49864954  0.25945585  0.60525053
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  0.4089922   0.54186856  0.6050427   0.73918727]
[-0.36368172]
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  0.57419913  0.54134523  0.40718117  0.48971277]
[ 0.26690937]
[ 0.58971577  0.61398558  0.52591926  0.52372892  0.36183287  0.47965983
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[ 0.4975546   0.60755269  0.52151917  0.45143005  0.48189489  0.48677107
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[ 0.65421516]
[ 0.33442576  0.6064164   0.58542965  0.36555981  0.57354635  0.57118233
  0.42793247  0.39941918  0.39356239  0.52308996]
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[ 0.51478744  0.6075497   0.61145457  0.39280225  0.4263838   0.49924704
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[ 0.14731026]
[ 0.43111475  0.74819581  0.42379588  0.31507056  0.71878587  0.41070546
  0.56376777  0.40388384  0.37775896  0.3606804 ]
[ 0.44477782]
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  0.55217843  0.46631836  0.30374567  0.46708092]
[-1.09322067]
[ 0.7150755   0.73489393  0.31787078  0.33025952  0.83244832  0.25083813
  0.7107862   0.16775327  0.19473654  0.20820309]
[ 0.61672038]
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  0.512655    0.5866426   0.43933753  0.51070438]
[-0.867346]
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[ 0.33415886  0.54487456  0.6923326   0.47534079  0.61954038  0.51110519
  0.48929692  0.58420169  0.48317098  0.46654386]
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[ 0.53027627  0.59711572  0.5066702   0.34039185  0.60275925  0.38904535
  0.63907163  0.44287414  0.39815853  0.37027291]
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[ 0.43114283  0.42347714  0.57502502  0.506344    0.36861031  0.63260682
  0.57788112  0.73878641  0.62877397  0.69222033]
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[ 0.33934034  0.41987057  0.55144766  0.43433562  0.41523722  0.52080762
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[-0.28925366]
[ 0.60948843  0.82454932  0.32672258  0.37007753  0.75289957  0.341343
  0.61042574  0.37651099  0.19069626  0.38477053]
Progress: 56.0% ... Training loss: 0.639 ... Validation loss: 1.081[ 0.67553086]
[ 0.57923498  0.8237882   0.25178963  0.34675527  0.7656093   0.21029277
  0.70383658  0.5127889   0.23544094  0.42373034]
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[-1.51021974]
[ 0.51265681  0.67819428  0.32401741  0.46443849  0.72981705  0.44332936
  0.63571568  0.30686652  0.29409329  0.31899692]
[ 0.60173612]
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[ 0.40716962]
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[ 0.03455433]
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[ 2.14321993]
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[ 0.3801569]
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[ 1.98262788]
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[ 2.66918995]
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[ 0.48895643]
[ 0.65777858  0.64223755  0.3354712   0.48663922  0.68957643  0.26892032
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[ 0.12717697]
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[ 1.16330417]
[ 0.68991584  0.75984946  0.45584102  0.3491842   0.67672186  0.36316508
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[ 0.10258907]
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[ 0.32171679  0.48927112  0.6114386   0.65347943  0.19499587  0.67288951
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[ 1.03028082]
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[ 0.29819157  0.35228547  0.60393187  0.59421806  0.18600691  0.74637976
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[ 2.77827341]
[ 0.47251683  0.54844016  0.72500557  0.39402163  0.38229608  0.4292244
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[ 1.0706519]
[ 0.57361986  0.63424151  0.42853257  0.36474319  0.77216253  0.22402677
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[ 0.44744777  0.51789246  0.4985952   0.47755971  0.59373291  0.44310229
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[ 0.00676645]
[ 0.40444976  0.50936296  0.73959469  0.51587048  0.25055592  0.70113283
  0.32820787  0.62916752  0.55759273  0.6407364 ]
[ 0.89782064]
[ 0.51430915  0.72164139  0.37391711  0.38693681  0.81009793  0.26038544
  0.68995755  0.39210148  0.28550398  0.35860411]
[ 0.35226617]
[ 0.44208644  0.48987905  0.61174682  0.51333419  0.26485542  0.59951229
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[ 0.50717899  0.4541245   0.7045461   0.35812328  0.45528212  0.3496775
  0.56612975  0.4142463   0.29640093  0.36353914]
Progress: 56.3% ... Training loss: 0.637 ... Validation loss: 1.093[-0.24337793]
[ 0.63130822  0.72994512  0.44900272  0.33168771  0.59175166  0.2513715
  0.62556371  0.39690485  0.30644152  0.52023283]
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[ 0.79678803]
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[ 0.10978882]
[ 0.54782379  0.69201051  0.42873371  0.48415316  0.45781799  0.46763612
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[ 2.97894448]
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[ 0.77378671]
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[ 0.18257367]
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[ 0.35870217]
[ 0.44251611  0.62634694  0.51510736  0.49437082  0.36772933  0.63596247
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[ 0.66312929]
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[-1.00495258]
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[ 1.36140738]
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[ 0.47667476  0.56522596  0.44501587  0.519333    0.58937052  0.51944412
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[ 0.35870217]
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[ 1.87812439]
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[ 0.96263462]
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[ 0.43089093  0.65513652  0.4732505   0.46913747  0.52544498  0.52239722
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[ 2.48679197]
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[ 1.10417314]
[ 0.5371022   0.68187423  0.49139136  0.3773341   0.49118108  0.55160343
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[ 0.76168947]
[ 0.44300159  0.56020347  0.54212643  0.56351354  0.4340225   0.60555765
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[ 0.5613202]
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[ 1.23508639]
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[ 0.97330474]
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[ 2.76633331]
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[ 0.61731944]
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[ 1.95664906]
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[ 0.29551783]
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[ 0.1832654]
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[ 0.39476571]
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[ 0.11963046]
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[ 0.64417876]
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[ 0.33636527]
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[ 1.28027558]
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[ 2.32913636]
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[ 0.66536044]
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[ 0.90165375]
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[ 0.02667305]
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[ 0.56364798]
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[ 0.04122608]
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[ 2.80922946]
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[ 0.08002655]
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[ 0.11254007]
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[ 0.81027632]
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[ 0.03145849]
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[ 0.72472945]
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[ 3.34059597]
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[ 0.02955232]
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[ 0.81275718]
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  0.63125617  0.26547056  0.28025288  0.29831645]
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[ 0.44252002]
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[ 0.81557858]
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[ 1.77577271]
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[ 0.85450177]
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[ 0.3674636]
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[ 0.89900006]
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[ 0.27821324]
[ 0.46207886  0.47888958  0.69338008  0.39975006  0.25124197  0.53258357
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[ 0.32750635  0.54542892  0.67198221  0.3746501   0.37344222  0.57243098
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[ 0.42162071]
[ 0.65561352  0.83097311  0.23755787  0.33315487  0.88698602  0.17847306
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[ 0.06024514]
[ 0.41438466  0.51911132  0.62749031  0.50266498  0.3110942   0.47974829
  0.44120529  0.53566941  0.38555814  0.58570111]
Progress: 56.6% ... Training loss: 0.637 ... Validation loss: 1.084[-0.01819343]
[ 0.49510755  0.56862614  0.51640987  0.42448154  0.54738941  0.4245882
  0.51411504  0.5913229   0.35643402  0.51087305]
[ 1.99624025]
[ 0.5075413   0.63363639  0.42166782  0.40604697  0.61506963  0.36179739
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[-1.36223962]
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[ 0.87396763]
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[ 1.54673962]
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[ 0.2918519]
[ 0.41604839  0.44265756  0.61298693  0.46121312  0.28537449  0.62636018
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[-0.4710643]
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[-0.03910209]
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[ 0.83703308]
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[ 0.37953108]
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  0.4880936   0.61248941  0.5632462   0.48065278]
[ 2.00778355]
[ 0.56463766  0.68534154  0.4013679   0.41427243  0.67802932  0.31351028
  0.67077267  0.49572152  0.42305934  0.23796054]
[ 0.76334982]
[ 0.54877081  0.81877003  0.29745611  0.32036539  0.85957023  0.17927536
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[ 0.59725265]
[ 0.44275184  0.56180934  0.54599751  0.51966116  0.38525602  0.52088238
  0.4947211   0.46701597  0.51443173  0.59639953]
[-0.68375914]
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[-0.83042599]
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[-0.99273508]
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[ 0.23075213]
[ 0.48128059  0.70016749  0.3306841   0.38914431  0.76851189  0.38599482
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[ 1.5958511]
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[ 1.19052543]
[ 0.59066768  0.67406401  0.3507692   0.36550087  0.76884132  0.25153929
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[ 1.92438487]
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[ 0.19926387]
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[ 0.60792913]
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  0.5843468   0.41871147  0.45488746  0.46690402]
[ 0.05922172]
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[ 0.22546604]
[ 0.42297736  0.64396288  0.5296177   0.43409133  0.45465462  0.53875619
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[ 0.41755213]
[ 0.59133563  0.81992105  0.4417182   0.36269579  0.60277718  0.25048145
  0.75852906  0.45334061  0.28028516  0.33844482]
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[ 0.46507978  0.56035751  0.56477524  0.48611211  0.4481438   0.45349631
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[ 1.18611441]
[ 0.54801738  0.60360174  0.39734692  0.43044153  0.66341289  0.34860849
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[ 2.3103762]
[ 0.46157842  0.53019798  0.50647665  0.35987568  0.77342405  0.33953654
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[ 0.3470419   0.51269167  0.63043961  0.49556633  0.33910216  0.51702626
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[ 1.8426805]
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[ 1.17844363]
[ 0.47175956  0.47687225  0.56198358  0.42893598  0.58229039  0.38658195
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[ 0.0967587]
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[ 0.50263576]
[ 0.35564719  0.61522786  0.51182063  0.48926656  0.35300098  0.47118159
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[ 0.46935503  0.72928855  0.39639569  0.45459213  0.62670803  0.43243081
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[ 0.19904662]
[ 0.37561373  0.51472882  0.36723591  0.55955621  0.42991861  0.59133359
  0.64379443  0.5418141   0.46762453  0.53906882]
Progress: 56.9% ... Training loss: 0.636 ... Validation loss: 1.088[ 0.63026544]
[ 0.74498132  0.80326573  0.28170113  0.33049782  0.76463466  0.28774979
  0.738942    0.41836687  0.19332443  0.44919818]
[ 0.30717872]
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[ 1.95983329]
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[ 0.81809659]
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[ 1.90238598]
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[ 0.88692211]
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[ 0.47618678]
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[ 2.89536056]
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[ 0.97942608]
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[ 1.28783662]
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[ 1.8552414]
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[ 0.46850207]
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[ 1.09617917]
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[ 0.24162318]
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[ 0.514945]
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[ 2.63862049]
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[ 0.13220401]
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[ 0.1038312]
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[ 1.17905203]
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[ 0.0365976]
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[ 0.63466359]
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  0.4475118   0.75374441  0.75360916  0.65057773]
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[ 0.47326664  0.59935842  0.55804717  0.50707878  0.47784379  0.59870564
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[ 0.09037782]
[ 0.33761824  0.34270194  0.67896686  0.62305302  0.20880483  0.65753709
  0.46582899  0.8373617   0.77675996  0.65785404]
[ 0.28462831]
[ 0.37565525  0.63464988  0.62820141  0.3586503   0.43209273  0.56808219
  0.45564146  0.51178603  0.54031552  0.50310006]
[ 0.63823409]
[ 0.49340176  0.6471774   0.38880603  0.41639798  0.66975022  0.3232881
  0.54094901  0.36568356  0.35339678  0.37246744]
[-0.19665251]
[ 0.35873082  0.34056762  0.63056493  0.5425404   0.35190467  0.6757208
  0.54455755  0.60067327  0.60555529  0.73571293]
Progress: 57.1% ... Training loss: 0.636 ... Validation loss: 1.084[-0.40546421]
[ 0.32325587  0.53703427  0.68591298  0.59859745  0.36958049  0.64432504
  0.44308473  0.64465238  0.54510489  0.53907486]
[ 0.49381782]
[ 0.70124591  0.84132571  0.27436957  0.32400515  0.86489186  0.33464318
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[ 1.35530703]
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[ 0.66590073]
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[ 0.91968624]
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[ 0.51125231]
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[ 2.16601099]
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[ 0.80418529]
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[ 0.41416187  0.32943195  0.55977287  0.54222581  0.4549442   0.63218912
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[ 0.43154226  0.47936822  0.65798919  0.46034031  0.43257813  0.37240293
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[ 0.08065222]
[ 0.33030039  0.29127512  0.68437971  0.56666257  0.21648834  0.65268017
  0.44870583  0.46965903  0.62353896  0.71052894]
Progress: 57.4% ... Training loss: 0.634 ... Validation loss: 1.097[-0.58300301]
[ 0.47359803  0.45196396  0.59438434  0.65248543  0.48286471  0.65166098
  0.55580565  0.44464514  0.49068215  0.43931229]
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[ 1.10436155]
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[ 0.26638569]
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[ 0.77796962]
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[ 0.08203258]
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[ 0.27567128]
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[ 2.4568043]
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[ 0.22284263]
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[ 0.06766451]
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[ 0.33967704]
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[ 0.16353782]
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[ 0.7256926]
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[ 0.31419808]
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[ 0.39583287]
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[ 1.94196259]
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[ 2.27217502]
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[ 0.82054976]
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[ 0.0146077]
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[ 0.92487092]
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[ 0.47184386]
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[ 0.43262419]
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[ 0.39641885]
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[ 0.09490431]
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[ 1.53440005]
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[ 1.02465005]
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[ 0.44935678]
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[ 0.07002657]
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[ 0.41783496]
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[ 0.29899065]
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[ 0.13017677]
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[ 1.47954196]
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[ 0.74705251]
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[ 0.0761281]
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[ 0.00440906]
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[ 0.17410317]
[ 0.30326361  0.41081819  0.72609945  0.39067891  0.21157224  0.52221639
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[ 0.29916993  0.37493823  0.67224139  0.50672241  0.28946836  0.66697596
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[ 0.36362615  0.38454053  0.54622958  0.4972103   0.35756562  0.4662178
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[ 0.16868792]
[ 0.34554941  0.36304032  0.66820844  0.64958055  0.19977821  0.61406596
  0.43115622  0.82054911  0.78158645  0.64187172]
Progress: 57.7% ... Training loss: 0.634 ... Validation loss: 1.103[ 0.07034388]
[ 0.58887962  0.81381213  0.31661236  0.30484505  0.72425637  0.24923008
  0.63973172  0.44033322  0.27211873  0.515682  ]
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[ 0.30667409  0.37883493  0.6313896   0.5933359   0.26400048  0.6757617
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[ 0.31969649]
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[ 0.10046926]
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[ 2.86701795]
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[ 0.04322363]
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[ 1.35198478]
[ 0.44603391  0.61611811  0.51790985  0.38299481  0.65649358  0.3575151
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[ 0.16595129]
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[ 0.03757194]
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[ 1.28056551]
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[ 0.03015086]
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[ 0.71575372]
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[ 1.11733116]
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[ 0.48701388]
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[ 0.3744188]
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[ 0.04898042]
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[ 0.61971807]
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[ 1.70355551]
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[ 1.26814064]
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[ 0.10490688]
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[ 1.28243233]
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[ 0.04067929]
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[ 0.10502271]
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[ 0.24806459]
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[ 1.12066878]
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[ 0.17394057]
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[ 0.15704911]
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[ 1.30695678]
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[ 0.64069649]
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[ 0.39502531]
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[ 0.18640832]
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[ 0.01566149]
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[ 0.4725487]
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[ 1.55596504]
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[ 1.57143976]
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[ 1.92891172]
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[-1.217719]
[ 0.67287169  0.67317237  0.27861492  0.39341421  0.77771975  0.32873006
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[ 1.18576824]
[ 0.59000703  0.78966744  0.30512027  0.37005908  0.80119025  0.33228354
  0.57616501  0.28274151  0.24709213  0.34332372]
[ 0.09538623]
[ 0.4429496   0.70153864  0.344301    0.49991174  0.3933849   0.37763786
  0.63295326  0.55855903  0.39874582  0.56005263]
Progress: 58.0% ... Training loss: 0.633 ... Validation loss: 1.105[-1.14869229]
[ 0.43469615  0.53578568  0.50534868  0.43082634  0.63902712  0.39857369
  0.55494069  0.26202057  0.34057922  0.38207046]
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[ 0.43390279]
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[ 0.43729817]
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[ 0.30144434]
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[ 0.55473472]
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[ 0.0763386]
[ 0.33168957  0.39424647  0.74659922  0.66710746  0.26406655  0.71878217
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[ 0.38549301]
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[ 0.18130782]
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[ 0.01419863]
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[ 0.02153875]
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[ 1.8885303]
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[ 0.00210481]
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[ 0.15572935]
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[ 0.04181526]
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[ 2.61090683]
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[ 0.12826138]
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[ 0.06479672]
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[ 0.28419778]
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[ 0.33360809]
[ 0.31396373  0.42445926  0.75697088  0.36187044  0.28680662  0.62812352
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[ 0.28261135]
[ 0.26210495  0.34120136  0.70970332  0.53733789  0.33351781  0.60671716
  0.36678175  0.57243447  0.6462942   0.71613976]
[ 0.67282617]
[ 0.45194338  0.72537848  0.44895263  0.29486016  0.65526523  0.29810104
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[ 0.43826271]
[ 0.60787298  0.64429593  0.5491755   0.34368954  0.64086017  0.41951747
  0.5142492   0.30024374  0.33881449  0.43256067]
Progress: 58.3% ... Training loss: 0.633 ... Validation loss: 1.100[ 0.94904282]
[ 0.61932266  0.75074241  0.35937724  0.38259794  0.85549358  0.32669144
  0.62373506  0.37671389  0.35199649  0.2707946 ]
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[ 0.50971284]
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[ 0.00444014]
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[ 0.23826626]
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[ 0.06763415]
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[ 0.35655176]
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[ 0.96736107]
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[ 1.4628209]
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[ 1.05372171]
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[ 0.50943875  0.64720082  0.47469874  0.41242036  0.68089551  0.267486
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[ 0.43578146]
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[ 2.60822994]
[ 0.5740057   0.76875931  0.31569894  0.27506013  0.81644909  0.29575777
  0.62040256  0.29577105  0.25107002  0.29509981]
[ 0.13190393]
[ 0.28665407  0.39911357  0.70759398  0.49812646  0.18613466  0.75839021
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[ 1.01870681]
[ 0.32233411  0.35679437  0.62949389  0.51403775  0.23704878  0.69166423
  0.43090739  0.65275879  0.63096153  0.680256  ]
[ 0.95077701]
[ 0.39231189  0.53812725  0.54499053  0.39983543  0.58987706  0.52434724
  0.53855119  0.68341425  0.52289115  0.60231677]
Progress: 58.6% ... Training loss: 0.632 ... Validation loss: 1.096[ 0.29705759]
[ 0.25083974  0.36445361  0.72112117  0.59176922  0.22929524  0.54983952
  0.43392614  0.69470849  0.6425328   0.70492546]
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[ 0.39887428]
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[ 0.59211263]
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[ 0.4210643]
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[ 0.2505653]
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[ 0.00191843]
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[ 0.44155023]
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[ 0.53020785]
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[ 0.03487159]
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[ 0.3490656]
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[ 0.32329453]
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[ 2.29612334]
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[ 0.41365956]
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[ 1.67666198]
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  0.6940932   0.41309334  0.3050229   0.33359568]
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[ 0.3763012   0.52259893  0.71811972  0.43806474  0.42413698  0.54972357
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[ 0.17038512]
[ 0.35912679  0.44947326  0.6393511   0.5732773   0.15950525  0.61102354
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[ 0.31544571]
[ 0.4377715   0.52510702  0.58100017  0.54917523  0.27831571  0.52707368
  0.6050868   0.56070782  0.43435286  0.58421582]
Progress: 58.9% ... Training loss: 0.632 ... Validation loss: 1.104[ 0.31303179]
[ 0.40560123  0.49135573  0.57951071  0.48413283  0.35801934  0.50427415
  0.62006131  0.60140032  0.429156    0.66667497]
[ 0.06046001]
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[ 0.6528019]
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[ 0.26106945]
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[ 0.59898858]
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[ 0.18938261]
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[ 1.39852694]
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[ 0.01863019]
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[ 0.51219949]
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[ 0.89113975]
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[ 0.38558021]
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[ 0.44694539]
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[ 0.53735403]
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[ 0.66697789]
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[ 0.36858064]
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[ 1.48000682]
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[ 3.41935042]
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[ 1.08604458]
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[ 1.25073706]
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[ 2.85903547]
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[ 0.35811827]
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[ 2.84706754]
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[ 0.23209385]
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[ 0.55097704  0.73599578  0.40042143  0.38370962  0.75695541  0.50287302
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[ 0.06138524]
[ 0.39845867  0.46446603  0.50963202  0.55275904  0.30243548  0.59321308
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[ 0.45779089  0.62546594  0.46419032  0.50517826  0.62435001  0.34664211
  0.64544058  0.53752012  0.34789988  0.456676  ]
Progress: 59.1% ... Training loss: 0.631 ... Validation loss: 1.095[ 0.12536517]
[ 0.25427065  0.42550467  0.78107447  0.50934236  0.16270328  0.5648932
  0.42028904  0.68619398  0.59170639  0.72916483]
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[ 0.85750174]
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[ 0.52209066]
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[ 0.05077194]
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[ 1.82421515]
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[ 0.05885277]
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[ 1.21343342]
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[ 0.94533723]
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[ 0.81875658]
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[ 0.04107097]
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[ 0.54837537]
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[ 0.13350313]
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[ 0.14262531]
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[ 0.05289412]
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[ 0.57812775]
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[ 0.02562306]
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[ 3.06777281]
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[ 0.21913913]
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[ 0.38371688]
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[ 0.28973323]
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[ 0.51668363  0.58628024  0.52494062  0.36551081  0.71742432  0.32673882
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[ 0.44279143  0.520821    0.72141918  0.51977485  0.39869043  0.56516002
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[ 0.59041169  0.56157023  0.42109706  0.55400368  0.58845881  0.46566755
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[ 0.07311939]
[ 0.69243576  0.82496074  0.28546651  0.3512235   0.82891106  0.25984235
  0.7887159   0.25712737  0.16437948  0.26236783]
[-0.68315937]
[ 0.7084096   0.74581114  0.27926425  0.34609855  0.80505648  0.39088062
  0.63168489  0.33289799  0.34295495  0.32127224]
[-0.24801238]
[ 0.37455748  0.53690267  0.61394508  0.57586501  0.42757503  0.57264017
  0.43836181  0.73170101  0.55032139  0.57035594]
[ 0.91766466]
[ 0.60727238  0.70118974  0.38608929  0.32951611  0.73892804  0.30063492
  0.66722171  0.41084352  0.30327966  0.33814406]
Progress: 59.4% ... Training loss: 0.633 ... Validation loss: 1.123[ 0.13849734]
[ 0.48515261  0.59873447  0.52719905  0.39927692  0.42938807  0.48941863
  0.60957238  0.75853418  0.59814639  0.56178876]
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[ 0.46922741  0.59693821  0.4296607   0.5082489   0.48142377  0.52087814
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[ 0.44369327  0.55350449  0.69568909  0.36715247  0.3951203   0.5044473
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[ 0.69725582]
[ 0.71889266  0.74618553  0.3206792   0.41022813  0.81158294  0.41820422
  0.5985165   0.3806572   0.4501709   0.21821538]
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[ 0.18553112]
[ 0.46628546  0.63944216  0.42884321  0.4621103   0.36497752  0.53658191
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[ 0.62309801]
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[ 0.41763]
[ 0.23631333  0.33971621  0.81221518  0.41473902  0.15092031  0.54473266
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[ 0.44651541  0.67063272  0.49628121  0.36697841  0.62690006  0.37190813
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[ 0.22572632]
[ 0.44753652  0.42162683  0.73167678  0.42855504  0.33762484  0.46974034
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[ 1.37441125]
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  0.59892836  0.60583624  0.48064659  0.47582054]
[ 3.49213649]
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  0.43300163  0.52254841  0.4783951   0.44744793]
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[ 0.4111385   0.4428167   0.61204908  0.47276141  0.26442899  0.5166341
  0.46074654  0.7446489   0.73697632  0.6402341 ]
[ 0.3211737]
[ 0.42095082  0.39477903  0.73782624  0.51066485  0.14153549  0.68567668
  0.40416545  0.59286441  0.69834762  0.72333374]
[ 0.70639517]
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  0.58212829  0.53631847  0.47470939  0.51126548]
[-0.43563635]
[ 0.32792928  0.42441012  0.65876901  0.45187248  0.36105527  0.52395396
  0.44116263  0.57276781  0.60474708  0.4732108 ]
[ 0.04028352]
[ 0.65354992  0.77465215  0.34690223  0.33144237  0.818462    0.31532211
  0.72820809  0.36620329  0.28141149  0.33222559]
[ 0.29727269]
[ 0.5316924   0.7362004   0.44699626  0.34297215  0.54151479  0.38554702
  0.53584472  0.44218854  0.36892743  0.48504752]
[ 0.36523451]
[ 0.47003852  0.65143802  0.4408471   0.47401122  0.61634605  0.35806203
  0.62561566  0.44288968  0.46048183  0.38345854]
Progress: 59.7% ... Training loss: 0.631 ... Validation loss: 1.105[-1.37521838]
[ 0.63024039  0.64805856  0.35708895  0.4420422   0.76629653  0.46212984
  0.63493045  0.43578916  0.42418126  0.37201977]
[ 0.65940103]
[ 0.51267898  0.48898762  0.43320279  0.46765383  0.55511439  0.28470235
  0.6100187   0.47256388  0.44088214  0.56703099]
[ 0.02355277]
[ 0.51268333  0.69510967  0.36895257  0.42487924  0.74943935  0.52526292
  0.5406428   0.54896263  0.4090273   0.39591228]
[-0.53070549]
[ 0.54857431  0.76906376  0.45019401  0.31361798  0.53570156  0.26454309
  0.66681974  0.53279087  0.28684465  0.52178156]
[-0.11146352]
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[ 0.57136208  0.65764643  0.68864275  0.4099218   0.25546094  0.50153353
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[ 2.04946076]
[ 0.41891122  0.51644799  0.56068472  0.38035327  0.57443452  0.51508504
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  0.59009056  0.68778988  0.60578971  0.67602267]
[ 1.10841936]
[ 0.55244148  0.70042879  0.43556566  0.36759224  0.66428957  0.26698879
  0.59344284  0.45608996  0.28490748  0.33745164]
[ 2.28543675]
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[-0.53414854]
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[ 0.16293823]
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[ 0.29136039]
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[ 0.92506961]
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[ 0.18898545]
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[ 0.7109209]
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[ 2.26219322]
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[ 0.4998888]
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[ 0.12746159]
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[ 0.06638665]
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[ 0.28234663]
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[ 1.5005068]
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[ 0.98818335]
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[ 1.22599895]
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[ 0.24641193]
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[ 1.08088132]
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[ 1.08508748]
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[ 1.23867781]
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[ 0.22226601]
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[ 0.1928048]
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[ 0.62925439]
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[ 0.23532645]
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[ 1.66961887]
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[ 1.38011536]
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[ 0.01144941]
[ 0.40330561  0.58190621  0.5585136   0.4407776   0.34679243  0.54652022
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[ 0.54033684  0.51148701  0.61320083  0.49708363  0.24947494  0.55874996
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[ 2.49057878]
[ 0.46338775  0.62453701  0.58014328  0.42906376  0.5330102   0.50394989
  0.46854453  0.41224342  0.42210175  0.35292637]
[ 1.13568583]
[ 0.48884427  0.48929614  0.46244347  0.44283648  0.6227717   0.43137985
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[ 0.38225852  0.52541518  0.66320152  0.51781387  0.40829552  0.56242337
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[-0.46593358]
[ 0.32862924  0.49609318  0.56161143  0.51483275  0.48595238  0.59952293
  0.55954697  0.62600268  0.46988337  0.49699784]
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[ 0.44141119  0.42763956  0.62333133  0.39134107  0.59611682  0.3310805
  0.51520411  0.42543804  0.53066007  0.52748145]
[-0.37335869]
[ 0.47602279  0.59418975  0.72078714  0.3253164   0.53283998  0.40713628
  0.55660313  0.52348296  0.32320431  0.44037195]
[-0.31412512]
[ 0.50985579  0.52621755  0.47554193  0.48142284  0.51336777  0.44738517
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[-0.15962405]
[ 0.57970579  0.62867966  0.33730157  0.48130053  0.58571353  0.39503797
  0.58286456  0.4939257   0.39781683  0.52976372]
[ 0.75622203]
[ 0.39643877  0.60314378  0.54467445  0.38294043  0.52356473  0.5939037
  0.44984542  0.54610436  0.52454418  0.71713268]
Progress: 60.0% ... Training loss: 0.630 ... Validation loss: 1.087[-0.45177478]
[ 0.40864777  0.43776641  0.54702373  0.56632394  0.39905835  0.6286942
  0.51953741  0.70162     0.65615831  0.47522259]
[ 0.05594852]
[ 0.35580072  0.53076481  0.59885514  0.58656448  0.26053859  0.56343221
  0.48644753  0.66194429  0.67111605  0.55386283]
[ 0.26802745]
[ 0.43060439  0.41504106  0.50555461  0.49882585  0.33864903  0.47623341
  0.54747875  0.59418366  0.45269179  0.66553629]
[-0.18263251]
[ 0.41395515  0.6304842   0.46286277  0.42761472  0.47678371  0.54421853
  0.61327319  0.53130031  0.49408811  0.59344189]
[ 0.7945989]
[ 0.61282185  0.63644075  0.45145222  0.41923701  0.60814222  0.54767365
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[ 2.38487781]
[ 0.50050731  0.58816714  0.48925726  0.40285862  0.67955528  0.41415688
  0.67628353  0.36221978  0.3412667   0.31148817]
[ 1.96728226]
[ 0.54429848  0.6931051   0.46048036  0.35938917  0.71264973  0.3179567
  0.65152633  0.44802031  0.27928768  0.19918546]
[-0.58147567]
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  0.59028122  0.38191856  0.45505836  0.36551929]
[-0.3116273]
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  0.61239268  0.42810845  0.35162876  0.33529085]
[ 0.05702578]
[ 0.68473641  0.75604564  0.28866192  0.45747748  0.70922521  0.24199547
  0.70452831  0.33369523  0.35875116  0.38610456]
[ 0.1595161]
[ 0.55681404  0.70585399  0.39218399  0.54949593  0.29120317  0.45966452
  0.65557425  0.68106192  0.40399005  0.62036881]
[ 0.1057794]
[ 0.34768402  0.37992192  0.6603504   0.52717867  0.24514283  0.64638412
  0.44330171  0.47841968  0.51017332  0.75572316]
[ 1.65508612]
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  0.57223885  0.75133884  0.66195306  0.69066723]
[ 0.01116808]
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  0.5599824   0.72494273  0.56263115  0.74817665]
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[ 0.79148287]
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[-0.10693075]
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[-0.82551107]
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[ 1.00350454]
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  0.6690777   0.3819274   0.3435351   0.29176933]
[ 0.05310301]
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  0.42322006  0.65114312  0.51644194  0.60134978]
[ 0.13051993]
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  0.35844228  0.56014496  0.54792389  0.57883389]
[ 0.06158603]
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[ 0.98559959]
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[ 0.1505621]
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[ 0.02770211]
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[ 0.02096449]
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[ 0.30597747]
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[ 0.25007258]
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[ 0.86764401]
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[ 0.35298167]
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[ 0.00337906]
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[ 0.88321855]
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[ 0.02379257]
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[ 0.02158737]
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[ 0.45785956]
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[ 0.37245189]
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[ 0.45545299]
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[ 0.37816649]
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[ 0.76577825]
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[ 0.4284349]
[ 0.67741186  0.75227036  0.37982783  0.39557996  0.76486198  0.34854564
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[ 0.28116285]
[ 0.52953348  0.67687957  0.51635231  0.32493796  0.6842448   0.3948339
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[ 0.0015268]
[ 0.49590011  0.48759213  0.58093014  0.45604524  0.3850841   0.55448113
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[ 1.24229202]
[ 0.59897078  0.67810559  0.35710779  0.46691311  0.65479861  0.28316597
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[ 0.27097377]
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[ 1.398092]
[ 0.469245    0.63128465  0.56781793  0.38690597  0.6056716   0.40740718
  0.61800114  0.4608754   0.37288371  0.42312524]
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[ 0.24339617]
[ 0.36390873  0.69209075  0.33457895  0.49751171  0.55411978  0.65643575
  0.61815044  0.63673061  0.41086897  0.48517387]
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  0.585158    0.53277637  0.44119001  0.50918093]
[ 2.69886235]
[ 0.56832462  0.69558732  0.48177977  0.39647556  0.47662621  0.33751632
  0.64128785  0.53444702  0.28425134  0.51964652]
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  0.74416563  0.49057868  0.35663012  0.39351697]
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[ 0.3896831   0.35297117  0.66752123  0.55636698  0.29294516  0.5607955
  0.428453    0.61160645  0.50849856  0.53133488]
[ 0.9814024]
[ 0.3213903   0.46038381  0.64574699  0.48333116  0.29012943  0.64369338
  0.46383936  0.65862577  0.58097591  0.606683  ]
[ 1.09026309]
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  0.60117174  0.65817231  0.44173923  0.67111815]
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[-0.63796248]
[ 0.49996792  0.4729165   0.61523394  0.46229333  0.47981331  0.59795763
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[ 0.6412601   0.6476901   0.51187165  0.50210631  0.37510192  0.48896536
  0.56196981  0.32024507  0.36087456  0.47861801]
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[ 0.67090107]
[ 0.36602113  0.42775787  0.72638953  0.40840445  0.38910741  0.55389545
  0.54483792  0.71466978  0.61638024  0.563763  ]
[ 0.4946055]
[ 0.42258364  0.56747007  0.67064774  0.48401707  0.42338675  0.5301027
  0.49268673  0.46057234  0.50593226  0.3559397 ]
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  0.66538959  0.36147984  0.21115337  0.33691034]
[-0.42591984]
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  0.63997507  0.31176545  0.40255827  0.39493202]
[ 0.60909606]
[ 0.63208636  0.68992192  0.30728502  0.3720392   0.80387665  0.21205304
  0.67467397  0.33147795  0.30093121  0.33003115]
[ 0.23108454]
[ 0.26448202  0.34089799  0.6479977   0.60413293  0.35321834  0.63313532
  0.43721849  0.73237965  0.65390522  0.60220212]
[-0.83909972]
[ 0.38695744  0.57251853  0.57333072  0.40640592  0.63076605  0.33667888
  0.59618108  0.45182957  0.34953277  0.4394659 ]
[ 1.94728665]
[ 0.66423694  0.71127434  0.44918689  0.38065203  0.64395543  0.403947
  0.61766423  0.38650966  0.30361737  0.38634574]
[-0.40976862]
[ 0.42053619  0.49220471  0.69827492  0.59127019  0.28979616  0.59108351
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[ 0.5361747]
[ 0.45817899  0.68637522  0.45424096  0.5307004   0.60618581  0.36901395
  0.60711331  0.40793485  0.38554396  0.44485551]
[-0.62717038]
[ 0.49346706  0.48178351  0.47227831  0.49282976  0.3677729   0.42257483
  0.47765601  0.37779563  0.5204987   0.61693522]
[ 2.68253801]
[ 0.56773785  0.62512773  0.54296428  0.3672219   0.57503693  0.42761901
  0.55980706  0.33133449  0.35416206  0.3652502 ]
[-0.15352177]
[ 0.41798236  0.70295448  0.3578656   0.47655384  0.61012365  0.54798364
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[ 0.48305384  0.65255766  0.4429856   0.46999125  0.67249178  0.3595912
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[ 0.6045171   0.90669577  0.32917286  0.40925192  0.71647194  0.36079309
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[ 1.60966109]
[ 0.56123224  0.73108848  0.40159694  0.36664999  0.79337744  0.21508472
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[ 0.18333269]
[ 0.60699249  0.64466641  0.23789979  0.4143349   0.80288136  0.28098684
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[ 0.33249078]
[ 0.52685354  0.71253044  0.52823695  0.40015188  0.55370136  0.41096443
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[ 0.42383249  0.46426219  0.58251014  0.56354707  0.33244231  0.49704284
  0.41494404  0.58126955  0.58670475  0.6988772 ]
[ 0.50249195]
[ 0.30467495  0.35725346  0.72347145  0.48234822  0.25719243  0.53041693
  0.45117496  0.62856394  0.63062986  0.64420433]
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[ 0.52554068  0.54451107  0.51738251  0.48055739  0.58787583  0.29754524
  0.54738904  0.46171603  0.3973964   0.38868252]
[-0.18615872]
[ 0.42413402  0.50707438  0.70902602  0.5414023   0.19877084  0.61485072
  0.43942225  0.70937887  0.6561143   0.55794255]
[-0.11662325]
[ 0.49683219  0.56993729  0.4984906   0.62251909  0.39282348  0.53537989
  0.52875674  0.60542796  0.47178266  0.52856723]
[-0.94300187]
[ 0.48411102  0.56333575  0.52527785  0.49464332  0.63819204  0.4598941
  0.61250504  0.33179941  0.39715649  0.26395059]
[-0.04517256]
[ 0.36676451  0.33546019  0.71145155  0.53145815  0.23718674  0.56663396
  0.41573956  0.60348003  0.51906023  0.62359398]
[-0.51849874]
[ 0.57179451  0.42480409  0.60942186  0.57928044  0.37299379  0.63053155
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[ 0.0927123]
[ 0.33869113  0.41751583  0.71511043  0.60361693  0.24032616  0.66377372
  0.55732228  0.66270035  0.63825371  0.59519201]
Progress: 60.3% ... Training loss: 0.629 ... Validation loss: 1.092[-0.52756478]
[ 0.54848029  0.71828184  0.47823132  0.30830885  0.71888072  0.18226211
  0.67800075  0.45000704  0.29538635  0.23851613]
[ 0.11320902]
[ 0.2772357   0.46078498  0.7296317   0.49814845  0.34766334  0.72175845
  0.30637195  0.56231044  0.54630525  0.63037802]
[-0.28732449]
[ 0.45167873  0.628084    0.5658745   0.48914652  0.57473013  0.46089081
  0.53435677  0.43968183  0.40177255  0.41365712]
[-0.32247174]
[ 0.37652251  0.49553627  0.6731182   0.37477624  0.43092373  0.57403851
  0.37560505  0.51717836  0.60780515  0.5564425 ]
[ 0.16535398]
[ 0.52343897  0.64126338  0.5041177   0.43425066  0.419289    0.44097656
  0.64454008  0.55741883  0.47952841  0.55231027]
[ 0.25773258]
[ 0.38886563  0.45353729  0.59172333  0.52216699  0.27421291  0.63024297
  0.47191906  0.67217213  0.57197595  0.68951517]
[ 0.52855889]
[ 0.45207367  0.57955012  0.59212358  0.42751523  0.44777566  0.51943444
  0.38032874  0.53112854  0.6150958   0.62493885]
[-0.91708749]
[ 0.47526196  0.6028705   0.53008736  0.49340701  0.56135887  0.54851385
  0.53873034  0.40082481  0.44237465  0.34402639]
[-1.00252504]
[ 0.47947034  0.6918732   0.48578782  0.53789096  0.55415341  0.52197467
  0.56826887  0.67825804  0.49599752  0.33149847]
[ 0.77407722]
[ 0.24569078  0.44811311  0.70543702  0.44006636  0.31792965  0.5085846
  0.53984254  0.54085512  0.55230705  0.69905078]
[ 1.00738309]
[ 0.67820674  0.72308821  0.33270527  0.43659072  0.65005494  0.50414672
  0.56091207  0.4153702   0.2819544   0.39155496]
[-0.17845509]
[ 0.4902286   0.61784291  0.37726104  0.42809952  0.47584894  0.44345807
  0.5879724   0.63597462  0.3917731   0.58236923]
[ 0.01901145]
[ 0.64256535  0.63355313  0.42148126  0.4542249   0.64499356  0.31477333
  0.63573635  0.56798425  0.30203518  0.44941806]
[-0.21102682]
[ 0.57022171  0.68329352  0.45070224  0.44242236  0.46514233  0.45054991
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[-0.76767385]
[ 0.48297758  0.65238741  0.44304069  0.47009545  0.67226875  0.35969605
  0.59928914  0.50800827  0.43672015  0.51286525]
[ 0.38528412]
[ 0.70671626  0.67452287  0.36725508  0.47592896  0.62569647  0.29085372
  0.6830709   0.50372661  0.3882844   0.4878955 ]
[-0.01338463]
[ 0.29552887  0.50461491  0.71896485  0.49070198  0.25837552  0.60682039
  0.46420403  0.61163793  0.5253585   0.55776536]
[-0.22603137]
[ 0.64122667  0.64155216  0.43174122  0.36945613  0.71358176  0.45001935
  0.47889264  0.37080857  0.48457301  0.32492146]
[ 0.51494193]
[ 0.58729549  0.73285862  0.33259573  0.25645842  0.90918402  0.11780369
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[-0.8999016]
[ 0.47912526  0.62435237  0.45624144  0.46274677  0.69886687  0.35432974
  0.6002635   0.47300312  0.43089046  0.50517668]
[ 0.06630906]
[ 0.34593146  0.64395982  0.35173104  0.49129662  0.44925365  0.52289102
  0.68126845  0.58081681  0.38964924  0.48787653]
[-0.8999552]
[ 0.49546831  0.61412238  0.51713982  0.45420062  0.67381983  0.44775953
  0.6689075   0.37011112  0.34533965  0.36854806]
[-0.13960533]
[ 0.65224568  0.67084254  0.45923356  0.36795367  0.59473442  0.40307101
  0.48673774  0.46551632  0.44054022  0.54970859]
[ 0.08384676]
[ 0.26800663  0.39587452  0.68335448  0.67140685  0.26113588  0.7453528
  0.36935776  0.70742539  0.65565661  0.66901013]
[ 0.35131835]
[ 0.36384953  0.47779017  0.63995186  0.45077435  0.4350893   0.5633432
  0.49200261  0.6137165   0.61680924  0.39200721]
[-0.2860168]
[ 0.39083053  0.53685447  0.52996379  0.58573137  0.39619485  0.67304684
  0.45349705  0.6549508   0.55255889  0.55677496]
[ 1.58110893]
[ 0.45065195  0.65678313  0.47159125  0.43733374  0.6851774   0.3337341
  0.63478069  0.48011361  0.35470306  0.42880369]
[-0.57895583]
[ 0.52341235  0.55612956  0.54566183  0.50269728  0.47507899  0.52011168
  0.45391129  0.45905031  0.49562662  0.50637109]
[ 0.61362219]
[ 0.66336056  0.74407889  0.33780505  0.34366955  0.77253094  0.22749586
  0.68686961  0.25506202  0.18337788  0.28980412]
[ 0.2794402]
[ 0.47700368  0.45299949  0.6270568   0.4884565   0.31758847  0.60630737
  0.51185457  0.72499268  0.54712967  0.52788975]
[-0.48175425]
[ 0.3377314   0.44323063  0.55557592  0.482531    0.34348609  0.5423574
  0.53647382  0.55066665  0.58739177  0.61583408]
[-0.32005389]
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[-0.33102262]
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[ 0.75103315]
[ 0.44106112  0.55784174  0.68334021  0.3521736   0.44558624  0.59212731
  0.45301961  0.64780282  0.43057691  0.64612838]
[ 0.89467763]
[ 0.63694686  0.70937762  0.39406746  0.44339919  0.7141378   0.39922976
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[-0.64366605]
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[-0.4680983]
[ 0.49298944  0.62500892  0.70616184  0.32415354  0.5317011   0.39224797
  0.56587793  0.57560682  0.32923484  0.41695487]
[ 0.48071042]
[ 0.53190021  0.57057829  0.52458587  0.49534953  0.52815835  0.46656111
  0.4895538   0.37499765  0.44206248  0.50412156]
[-0.68647673]
[ 0.58660988  0.68434376  0.28784929  0.40493401  0.75107319  0.43401692
  0.7243454   0.2822495   0.34467505  0.35308942]
[ 0.0960159]
[ 0.60673879  0.65843288  0.31235883  0.47163554  0.65849764  0.4718719
  0.56001864  0.52533807  0.41279374  0.44023522]
[-0.18800667]
[ 0.54967979  0.8409979   0.37512691  0.32462272  0.8266902   0.32588781
  0.71579275  0.4045145   0.20260753  0.40663203]
[-0.48068835]
[ 0.61192841  0.731289    0.44298114  0.41279336  0.63981012  0.3374344
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[ 0.48242386  0.61066852  0.43809867  0.47894752  0.64520189  0.47512892
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[ 0.28148203]
[ 0.62705966  0.85433152  0.42217856  0.3975327   0.73862058  0.33274817
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[ 0.27415247]
[ 0.57912891  0.71810179  0.40090548  0.46947902  0.63128795  0.29007638
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  0.64938727  0.75678097  0.34643913  0.54501369]
[ 0.51602169]
[ 0.46745649  0.61453615  0.53979317  0.54235501  0.29521194  0.49248777
  0.62022117  0.60632178  0.38590269  0.60637916]
[ 0.60928227]
[ 0.28945167  0.40101021  0.5882575   0.41555516  0.33679193  0.54216536
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[ 0.0200635]
[ 0.40164347  0.52467846  0.56719594  0.54458455  0.43266386  0.57691141
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[ 0.52988726]
[ 0.45870081  0.49665246  0.6325573   0.34719554  0.53615705  0.43682964
  0.42721333  0.35545967  0.45967249  0.54607683]
[-1.38853468]
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[ 1.02460445]
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[ 0.35965185]
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[ 0.17066134]
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[ 0.71214531]
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[ 0.08505451]
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[ 0.38398998]
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[ 0.80239066]
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[ 0.28942947]
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[ 1.22004384]
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[ 1.84345718]
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[ 0.2337551]
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  0.63174939  0.66576705  0.53289751  0.4895498 ]
[ 0.69597419]
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[ 0.5405747]
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[ 1.36625425]
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[ 0.10928391]
[ 0.35458272  0.49614545  0.53727806  0.47977798  0.45348382  0.55609354
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[ 0.58735929  0.73381174  0.276196    0.42921687  0.73042728  0.33876972
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  0.4255536   0.60012156  0.55470296  0.62239067]
[-0.12519926]
[ 0.31367607  0.3511477   0.71211855  0.5805424   0.28981814  0.5487718
  0.45809344  0.75624958  0.64562641  0.59699905]
[ 0.29292867]
[ 0.46980295  0.49044098  0.61347684  0.37613551  0.4907432   0.4556484
  0.58835492  0.49587382  0.4674685   0.41713668]
[-0.77641903]
[ 0.53538535  0.56760088  0.3621895   0.57422675  0.68192996  0.43738701
  0.60730721  0.36346828  0.423561    0.39773669]
[ 1.08022123]
[ 0.58987111  0.75138925  0.40526915  0.31046263  0.79966694  0.43905621
  0.52391838  0.31470943  0.3590074   0.32742964]
Progress: 60.6% ... Training loss: 0.630 ... Validation loss: 1.111[-0.74872498]
[ 0.35577764  0.51599784  0.59237683  0.49587825  0.48755775  0.5445456
  0.56591623  0.58499365  0.42816828  0.53775382]
[ 0.00848901]
[ 0.28777275  0.50580775  0.66146131  0.48226565  0.28124522  0.55909638
  0.46916335  0.70684629  0.66407231  0.6523907 ]
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  0.42148114  0.62937537  0.5753757   0.60126949]
[ 0.46769086]
[ 0.67694421  0.75138701  0.38017784  0.39633465  0.76377373  0.34913389
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[ 0.24510655]
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  0.44729827  0.61921288  0.73595975  0.66384818]
[ 0.67257909]
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[-0.20135272]
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  0.62906033  0.35890584  0.3328669   0.49151305]
[ 0.55919244]
[ 0.60836757  0.72018961  0.3357211   0.49274054  0.67487955  0.37730609
  0.61776862  0.45662655  0.38691983  0.51103317]
[ 0.01889034]
[ 0.49683913  0.57387332  0.5130244   0.51450595  0.4834362   0.55912675
  0.533459    0.63831468  0.50545494  0.52211594]
[ 0.11493426]
[ 0.45277024  0.59523703  0.67446461  0.50429297  0.28618439  0.62844567
  0.41956982  0.68590738  0.7007979   0.57235299]
[ 1.32930364]
[ 0.5983437   0.77746102  0.42517522  0.36046193  0.83376012  0.25610174
  0.65312753  0.47189129  0.26486642  0.27073076]
[ 1.73916717]
[ 0.51375997  0.54655292  0.70139742  0.42488513  0.27745922  0.50049219
  0.59072631  0.63418799  0.41892323  0.54087674]
[ 2.70967516]
[ 0.42612584  0.72608621  0.60090021  0.36049813  0.56909017  0.35462432
  0.54826136  0.52761583  0.33907102  0.48061024]
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[ 0.52802923  0.49302493  0.53599861  0.50381273  0.63658872  0.29908876
  0.49784461  0.59372154  0.49876378  0.3574327 ]
[ 0.11401929]
[ 0.34469387  0.24731706  0.7048819   0.56358178  0.25566578  0.59072856
  0.46343544  0.69342588  0.74610725  0.64541265]
[-0.70068669]
[ 0.48746323  0.49180373  0.5210887   0.5586338   0.4915614   0.59942344
  0.57337322  0.42192205  0.49177499  0.52542332]
[-0.66360489]
[ 0.50451771  0.55192777  0.42736899  0.29504389  0.68762198  0.23436449
  0.74300679  0.36607024  0.3000634   0.44769475]
[ 0.30648466]
[ 0.6531511   0.72520653  0.26618055  0.43960253  0.82351112  0.30676129
  0.62310091  0.22977477  0.26556682  0.30452441]
[-0.35681907]
[ 0.4890358   0.51648763  0.60824187  0.57492365  0.38297798  0.59633782
  0.51510482  0.56276091  0.50588517  0.55708912]
[-1.05883239]
[ 0.49684452  0.62411675  0.44157318  0.44689097  0.66129591  0.37490005
  0.5703909   0.53859665  0.4079568   0.46258261]
[-1.16011947]
[ 0.68951138  0.73512563  0.19782787  0.42243867  0.84085494  0.30804276
  0.67056498  0.22601351  0.28653182  0.30332517]
[-1.11787679]
[ 0.66710868  0.60326284  0.42459781  0.5180002   0.55231481  0.52111305
  0.57988671  0.45502719  0.44229981  0.44073896]
[ 0.12222279]
[ 0.37017104  0.31756138  0.76252739  0.43271785  0.23323597  0.45391945
  0.55630318  0.55778123  0.5969363   0.6149705 ]
[ 0.96351191]
[ 0.52320184  0.54583691  0.44228215  0.44044125  0.64211515  0.36949456
  0.54051186  0.3240531   0.45906777  0.3659372 ]
[ 1.05354223]
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[ 1.5787427]
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[ 0.27991372]
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[ 0.53726083]
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[ 0.13216172]
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[ 0.33868958]
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[ 1.09585568]
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[ 0.64573798  0.7550904   0.42898718  0.48064681  0.53391843  0.48054885
  0.50041615  0.4551671   0.40113885  0.36456785]
[ 0.99156649]
[ 0.69437402  0.65475148  0.42414773  0.47773073  0.64996801  0.36432607
  0.52600099  0.48378999  0.39299978  0.3624169 ]
[-0.17376754]
[ 0.35623042  0.49464964  0.53177503  0.45813772  0.43895512  0.42313887
  0.58309948  0.64812066  0.49692441  0.4588844 ]
[-1.18112914]
[ 0.63661727  0.64118648  0.50592596  0.48121625  0.57714383  0.34002099
  0.61289829  0.42340968  0.31588141  0.36738639]
Progress: 60.9% ... Training loss: 0.629 ... Validation loss: 1.110[ 0.64002733]
[ 0.5568215   0.60849122  0.30046335  0.4363547   0.69401191  0.40097781
  0.61216456  0.31040216  0.41533721  0.37577235]
[-1.16591745]
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[ 0.62407549]
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[ 0.38132488]
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[ 0.20508647]
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[ 0.94788909]
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[ 0.31584469]
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[ 0.00740899]
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[ 0.29870783]
[ 0.40208939  0.39775839  0.6997636   0.47486126  0.26677647  0.56470766
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[ 0.38110647  0.51533069  0.55664055  0.49160058  0.41910976  0.63509025
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[ 0.37072261]
[ 0.3924875   0.64470662  0.40097327  0.39353984  0.60332557  0.38130223
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[ 0.8807678]
[ 0.50451913  0.57983308  0.43554035  0.47081458  0.48741385  0.52544174
  0.48891251  0.4049402   0.44252834  0.57831882]
Progress: 61.1% ... Training loss: 0.629 ... Validation loss: 1.104[-1.35173158]
[ 0.57148098  0.69033371  0.42190709  0.3783486   0.63179645  0.33767651
  0.68843269  0.53347998  0.34802118  0.50298257]
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  0.72104608  0.33645144  0.27483412  0.31839285]
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[ 0.39317452  0.45859288  0.59239278  0.52684206  0.49372328  0.48087596
  0.5641001   0.30901957  0.38573629  0.3801096 ]
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[ 0.40299736]
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[ 0.12213795]
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[ 0.97238671]
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[ 0.28113469]
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[ 0.19110747]
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[ 0.99459935]
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[ 0.66726657]
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[ 0.80297973]
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[ 1.03771868]
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[ 1.74421705]
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[ 1.14260161]
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[ 1.07019913]
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[ 0.01153878]
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[ 2.41983792]
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[ 0.1832592]
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[ 1.66626197]
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[ 1.11238435]
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[ 0.43321516]
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[ 1.22301135]
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[ 0.51529509]
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[ 0.07433635]
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[ 0.21980516]
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[ 1.87474559]
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[ 0.1288178]
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[ 0.60471812]
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[ 0.20862912]
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[ 0.70336778]
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[ 0.0544556]
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[ 0.04721016]
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[ 0.08792168]
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[ 0.31683664]
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[ 0.60189611]
[ 0.42514586  0.66748941  0.46694991  0.30207347  0.66091142  0.47378088
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[ 0.34680028]
[ 0.44750631  0.65742611  0.43876681  0.33573019  0.55132959  0.29463018
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[ 0.42780506  0.64867432  0.51354548  0.39539228  0.61442619  0.39557044
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[ 0.39858956  0.50546876  0.68067253  0.53751491  0.31800637  0.63324676
  0.40641998  0.6036443   0.47174867  0.57195512]
[ 0.05773905]
[ 0.45122679  0.7276946   0.50368689  0.33229677  0.67318821  0.44012673
  0.59056854  0.51077585  0.3350618   0.41747767]
[-0.33553393]
[ 0.5615269   0.71120946  0.32792003  0.29482629  0.84625559  0.37292731
  0.72083129  0.30605239  0.30601104  0.28216315]
[-1.00853752]
[ 0.48459374  0.45384533  0.57556558  0.40336355  0.64363285  0.31968164
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[ 0.32911045  0.4969206   0.56121019  0.51407502  0.48648393  0.59895435
  0.55996024  0.6255366   0.46925271  0.49627444]
Progress: 61.4% ... Training loss: 0.629 ... Validation loss: 1.115[-0.48668879]
[ 0.71556005  0.66893732  0.38886485  0.40683844  0.59741965  0.24969595
  0.7563201   0.49451813  0.358071    0.47663504]
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[ 0.02343998]
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  0.58221904  0.70116652  0.53476223  0.4635357 ]
[ 0.1521872]
[ 0.40437067  0.55437645  0.67152915  0.3364928   0.54855445  0.59558119
  0.44622142  0.41072393  0.46270334  0.52918836]
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  0.56015556  0.59920181  0.55877442  0.58582751]
[ 1.58070217]
[ 0.5688101   0.65640924  0.53577385  0.47497685  0.53523115  0.51476093
  0.49361432  0.5567613   0.37030082  0.4529891 ]
[-0.54954064]
[ 0.64972495  0.66208241  0.2537072   0.45298396  0.78539129  0.42205918
  0.62321659  0.26438393  0.33077062  0.27525002]
[ 0.04768563]
[ 0.32091129  0.40059084  0.68637258  0.50008467  0.11818804  0.61006533
  0.5386519   0.67329441  0.54452954  0.82556838]
[ 0.22853783]
[ 0.68582715  0.69893141  0.36653141  0.43956321  0.77477543  0.36036056
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[-0.46430276]
[ 0.44516782  0.56508915  0.55763565  0.52040097  0.3635521   0.59445608
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[-0.35942462]
[ 0.46830225  0.57361062  0.46428816  0.48413817  0.45197652  0.42827106
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[-0.52924056]
[ 0.40365593  0.48889638  0.60338645  0.48779114  0.40774521  0.51881302
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  0.64874971  0.56609217  0.40068697  0.52141532]
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[ 0.40843741  0.5858121   0.47006636  0.56466384  0.41886065  0.59905464
  0.50056755  0.63945042  0.49819533  0.68352526]
[ 1.40586227]
[ 0.58242929  0.63730331  0.59394193  0.36564506  0.59410533  0.3559094
  0.45001975  0.45709132  0.39405411  0.41046975]
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  0.47434566  0.5699707   0.45476106  0.38837374]
[-0.88258064]
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[ 1.08367041]
[ 0.36326649  0.48299113  0.6562756   0.38202791  0.46393862  0.5644736
  0.45268146  0.70681007  0.55921539  0.70333082]
[-0.73303393]
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  0.6463526   0.20940142  0.22108478  0.21590323]
[ 1.46354061]
[ 0.47519994  0.60035507  0.52566689  0.51160819  0.54077861  0.43861192
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[-0.06954714]
[ 0.33071213  0.37223265  0.61090562  0.60193932  0.27503191  0.65124227
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[-0.2581261]
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  0.66529314  0.74517908  0.4684771   0.69454812]
[-1.20878908]
[ 0.50294192  0.57952402  0.67880837  0.30480044  0.62601776  0.36255466
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[ 0.41948     0.4550788   0.56849695  0.52922894  0.24357078  0.46006054
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[-0.33240432]
[ 0.43082011  0.58798157  0.45683946  0.47482997  0.55472974  0.36270367
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[ 0.40688441]
[ 0.62794403  0.80583616  0.45061084  0.25400064  0.69050404  0.21491861
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[ 0.761038]
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[-0.3814295]
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[-1.01784727]
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[ 3.10846495]
[ 0.58915273  0.64077626  0.47952057  0.44459679  0.56257528  0.43560642
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[ 2.79534065]
[ 0.42061718  0.46446867  0.67595773  0.32712626  0.50762408  0.45799373
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[ 0.54329535]
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[ 0.88187887]
[ 0.43391814  0.70587045  0.29929744  0.32461055  0.79716847  0.42871381
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[ 0.06687459]
[ 0.52513509  0.62578589  0.61323593  0.4340315   0.59443153  0.43400017
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[ 0.24420523]
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[ 0.10812948]
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[ 0.52095342]
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[ 0.91023007]
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[ 0.79672719]
[ 0.59914292  0.66819201  0.40309254  0.50040546  0.75288819  0.41196763
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[ 1.72896926]
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[ 0.32572961]
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[ 0.22895831]
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[ 0.6565248]
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[ 0.30200375]
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[ 3.01000111]
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[ 0.05980841]
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[ 1.14296464]
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[ 0.14547994]
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[ 0.11391913]
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[ 2.03008542]
[ 0.68112024  0.82192359  0.39218636  0.29969261  0.74817607  0.21343985
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[ 0.51756557  0.46505493  0.71348956  0.48500953  0.21455895  0.54463147
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[ 1.41903741]
[ 0.47766865  0.64890874  0.57409314  0.4189332   0.51249125  0.47438953
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[ 0.2595968   0.35857145  0.67003152  0.49862894  0.33462449  0.6582315
  0.49702674  0.63925723  0.55347849  0.57869934]
Progress: 61.7% ... Training loss: 0.627 ... Validation loss: 1.095[-1.03653227]
[ 0.52566072  0.59968022  0.48145014  0.53976753  0.55867012  0.52510089
  0.49617121  0.31084585  0.44161318  0.42853116]
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[ 0.13025781]
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[ 0.9052102]
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[ 1.04280317]
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[ 0.82155783]
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[ 0.29195851]
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[ 0.1087923]
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[ 0.74916919]
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[ 0.07795294]
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[ 1.21844809]
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[ 1.32400733]
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[ 0.74623191]
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[ 0.23971959]
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[ 1.39595953]
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[ 2.29369079]
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[ 1.33658069]
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[ 0.24834387]
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[ 1.96055168]
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[ 1.17114041]
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[ 1.06241636]
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[ 0.18302017]
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[ 0.28813761]
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[ 1.6666567]
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[ 0.01931123]
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[ 1.45942802]
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[ 0.38763434]
[ 0.53219244  0.42344357  0.68077577  0.3558418   0.38039346  0.42229541
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[ 0.4755393   0.62844335  0.47041895  0.5842913   0.41830981  0.61691934
  0.58200575  0.60028091  0.45625884  0.62175062]
[ 0.04362848]
[ 0.40372862  0.58316237  0.55084429  0.44260221  0.44517325  0.38902813
  0.67695126  0.59709676  0.52160416  0.32541695]
[-0.08960671]
[ 0.33393573  0.35455181  0.67552575  0.53369515  0.24613551  0.59629687
  0.44343815  0.67862736  0.69238164  0.61455555]
[-0.31264979]
[ 0.55782134  0.61839971  0.43594426  0.35528036  0.70879331  0.46191627
  0.55588509  0.46468176  0.45005224  0.44165021]
[ 0.46721513]
[ 0.26722567  0.23177327  0.73446853  0.56509007  0.1223882   0.74996675
  0.39247652  0.65226007  0.73607704  0.70609458]
Progress: 62.0% ... Training loss: 0.627 ... Validation loss: 1.082[ 0.66665023]
[ 0.53471246  0.53593821  0.60382073  0.33588547  0.48054541  0.51079339
  0.56882315  0.55707293  0.42756648  0.67579307]
[-0.586702]
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[ 0.16483697]
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[ 0.3369374]
[ 0.26306289  0.31775005  0.79591515  0.51246492  0.16933248  0.56444775
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[ 0.23211637]
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  0.59813521  0.51261343  0.47838424  0.47096365]
[ 1.10245923]
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[ 0.08202518]
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[ 0.17650793]
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[ 0.19164735]
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[ 0.24288126]
[ 0.5357684   0.5872225   0.42284424  0.40942806  0.72643528  0.30357572
  0.59791777  0.24626549  0.30669549  0.35923761]
[ 0.04729447]
[ 0.38857969  0.62074142  0.45988185  0.49566783  0.57811415  0.515916
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[ 2.47407269]
[ 0.5097558   0.63595563  0.49719653  0.34490665  0.63756227  0.44871995
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[ 0.29281466]
[ 0.40844155  0.39570742  0.61816869  0.49490124  0.32573638  0.58041059
  0.56559283  0.76966171  0.6189834   0.74763069]
Progress: 62.3% ... Training loss: 0.626 ... Validation loss: 1.079[-0.15940715]
[ 0.33134463  0.42191658  0.57445219  0.67513356  0.19762114  0.61444533
  0.55081141  0.61803844  0.54553485  0.64825027]
[ 0.19915262]
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[ 0.46959441]
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[-1.03523529]
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[ 0.54188865]
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[ 0.76543457]
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[ 0.00438391]
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[ 0.0701745]
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[ 1.59356355]
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[ 0.34005029]
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[ 1.62927829]
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[ 0.33480904]
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[ 2.61466005]
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[ 1.27789588]
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[ 2.15452516]
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[ 0.64056918]
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[ 0.93531419]
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[ 0.06614174]
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[ 0.42946835]
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[ 2.35854393]
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[ 0.16997037]
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[ 0.22486368]
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[ 0.27977663]
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[ 0.03208983]
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[ 0.98470089]
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[ 0.02979924]
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[ 0.66719391]
[ 0.45219186  0.65398653  0.49314163  0.39303588  0.48780041  0.58255902
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[ 0.1578946]
[ 0.52881845  0.73501492  0.25667253  0.3568465   0.79308672  0.43739276
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[ 0.05392034]
[ 0.52133553  0.65627365  0.40107137  0.35035899  0.624916    0.41295353
  0.64587071  0.4311072   0.31355883  0.45201051]
[-0.16810866]
[ 0.39720833  0.66987943  0.38070687  0.40782403  0.74838979  0.25792265
  0.582464    0.48811391  0.37059697  0.38375267]
[-1.16419386]
[ 0.54979078  0.5837811   0.61814853  0.45010775  0.57556932  0.37007998
  0.62039033  0.55356123  0.30861884  0.33410835]
[-0.267675]
[ 0.45793259  0.59154332  0.53453831  0.44865025  0.42816171  0.5916323
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[-0.44864658]
[ 0.57503864  0.68349076  0.32663857  0.3889783   0.77760702  0.34602405
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[ 0.03409719]
[ 0.51459425  0.78205914  0.43325802  0.46978592  0.60562507  0.43180206
  0.54950599  0.69606782  0.3857334   0.37960122]
Progress: 62.6% ... Training loss: 0.626 ... Validation loss: 1.098[-0.43414417]
[ 0.53371855  0.59335148  0.52992328  0.5185942   0.46611909  0.48802919
  0.44792417  0.32460666  0.48522804  0.51637531]
[-0.72185894]
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[ 0.36341002  0.3368486   0.71421063  0.46228047  0.27318601  0.42168518
  0.56859087  0.59084255  0.43667447  0.67576117]
[ 0.27346641]
[ 0.27758088  0.37833183  0.64127756  0.46837715  0.41568406  0.56237403
  0.66541601  0.57545993  0.50067439  0.5708015 ]
[ 1.56380623]
[ 0.4512075   0.59550811  0.46230802  0.36785003  0.61498471  0.28558036
  0.59744838  0.33263983  0.26092225  0.49897257]
[ 2.89208223]
[ 0.62929391  0.69136756  0.60516471  0.36541505  0.54422567  0.34287707
  0.46305653  0.4775092   0.29809215  0.38502782]
[ 0.61094244]
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  0.37587441  0.61474098  0.62149695  0.70716864]
[ 0.14065185]
[ 0.3498879   0.45943887  0.59414633  0.5842726   0.24972451  0.57150291
  0.55310508  0.65146254  0.62654971  0.49367995]
[ 2.81350085]
[ 0.44629591  0.65373491  0.47014071  0.45941204  0.61213343  0.39831976
  0.55236365  0.55120637  0.34454231  0.30830673]
[ 1.06909491]
[ 0.50366077  0.68654697  0.51369714  0.36337981  0.50343563  0.29320789
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[ 0.52520259  0.70207749  0.41131477  0.50735975  0.53582116  0.49838481
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[ 0.06245779]
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[ 0.76962159]
[ 0.6929646   0.80516161  0.30693063  0.3791582   0.73995649  0.25172462
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[-0.0251633]
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[-0.52795603]
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[ 0.50553933]
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[-0.00828569]
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[-0.37366518]
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[ 0.04225554]
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[ 1.49644468]
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[ 0.32818748]
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[ 0.37545042]
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[ 0.02360735]
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[-1.35998314]
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[-0.76599806]
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[ 3.01605643]
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[ 0.7921344]
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[ 0.58197101]
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[ 0.98928098]
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[ 0.41389015]
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[ 0.01346576]
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[ 0.0325971]
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[ 0.56285347]
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[ 0.37671476]
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[ 0.38948811]
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[ 0.18988095]
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[ 0.14659931]
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[ 1.1952526]
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[ 1.07961345]
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[ 0.97923312]
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[ 0.81602134]
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[ 0.60504101]
[ 0.63780577  0.55830375  0.48803069  0.49898335  0.55904131  0.35588098
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[ 0.58952149  0.74788632  0.47632759  0.34416788  0.55448949  0.37403232
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[ 0.42810208  0.63740142  0.50529535  0.47829738  0.28103236  0.54268697
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[ 0.33104779  0.49630684  0.60055158  0.48209249  0.36915668  0.5241795
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[ 0.30028801  0.48764789  0.67089056  0.61892736  0.21330206  0.57832959
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[ 0.36189545  0.35315975  0.68378936  0.54440504  0.35552755  0.65009951
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[ 0.01310131]
[ 0.33387939  0.36769877  0.62669839  0.5950832   0.22294688  0.68661511
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[ 0.47628964  0.62690613  0.59011569  0.32788735  0.52867559  0.51673072
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[ 1.37519331]
[ 0.5389637   0.62609075  0.38030697  0.35520108  0.66931936  0.2572234
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[-1.38932581]
[ 0.69625336  0.69351001  0.3273714   0.55500737  0.56902412  0.4032295
  0.6277165   0.33142952  0.36594856  0.3881148 ]
[ 3.33149838]
[ 0.55414417  0.72243855  0.60579393  0.39578102  0.46125135  0.51501701
  0.44338703  0.43829924  0.31873283  0.45800331]
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[ 0.69999684  0.64986615  0.37853953  0.53858467  0.52899353  0.41869877
  0.64604453  0.36906436  0.38684967  0.40667446]
[ 0.50919343]
[ 0.5553193   0.75917492  0.38977255  0.39014772  0.7226259   0.29344825
  0.61974625  0.49930371  0.27189953  0.32784773]
[ 2.04099787]
[ 0.43231102  0.59592197  0.48191113  0.36121299  0.65882983  0.30734685
  0.63472083  0.37751496  0.28793267  0.35900613]
[ 2.36040577]
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  0.72879827  0.40863376  0.22616868  0.25425686]
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  0.65044852  0.5178745   0.50426789  0.510181  ]
[ 0.55479143]
[ 0.35657486  0.44250603  0.67322602  0.45117813  0.31419301  0.52907496
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[ 0.68031968]
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[ 0.43343841]
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[ 0.14065185]
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[ 0.25625158]
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[ 0.55783945  0.56075531  0.4472759   0.4840163   0.56444376  0.53574247
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[-1.00383292]
[ 0.37087566  0.59741738  0.56053404  0.4711794   0.56346801  0.36347281
  0.64404189  0.55703525  0.39359092  0.47893438]
[ 0.80812251]
[ 0.43295796  0.59322982  0.59997354  0.47785322  0.38608446  0.5506222
  0.38995904  0.66701605  0.57491475  0.63766398]
[-0.63957543]
[ 0.50316191  0.58356704  0.55920498  0.47296006  0.41300726  0.56577929
  0.4634917   0.50947997  0.52134849  0.61106342]
[ 2.36541821]
[ 0.31393673  0.40258383  0.69037672  0.46683361  0.32586132  0.51543045
  0.54005138  0.63184563  0.57751412  0.43289516]
[ 0.61026125]
[ 0.68267976  0.73070524  0.40381703  0.51687589  0.70100411  0.44354266
  0.67622797  0.32367705  0.22653443  0.30071418]
[-0.55931316]
[ 0.44430828  0.60429064  0.6581692   0.47437657  0.30904307  0.56405735
  0.48408406  0.61140736  0.50150466  0.58315792]
[-0.51786758]
[ 0.49440476  0.58712024  0.48631126  0.43069147  0.48491455  0.41778421
  0.60969063  0.57603206  0.52564013  0.6551048 ]
Progress: 62.9% ... Training loss: 0.626 ... Validation loss: 1.095[-0.60057905]
[ 0.48481946  0.57028674  0.5501251   0.53968348  0.43213579  0.4158199
  0.52505166  0.74098581  0.4507194   0.56335382]
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[ 0.44389648  0.64511715  0.55428221  0.387552    0.67053026  0.33829253
  0.54438017  0.49883094  0.34004242  0.4212157 ]
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[ 0.38389359  0.61287883  0.5953933   0.39302192  0.56621369  0.42851869
  0.58745401  0.39423378  0.32825306  0.41871691]
[ 0.0565478]
[ 0.59271228  0.81653025  0.31369047  0.30113552  0.72859176  0.2471067
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[-0.0385032]
[ 0.45364361  0.58340939  0.64838876  0.3430417   0.41088149  0.42962376
  0.39653919  0.36401958  0.45505686  0.54095209]
[-1.10242972]
[ 0.52956381  0.51772903  0.37105806  0.55245924  0.66962443  0.53147757
  0.5800131   0.32339247  0.404576    0.36851178]
[-0.34997586]
[ 0.418685    0.51853102  0.5158913   0.58888708  0.55721598  0.4566759
  0.59329939  0.56213513  0.47680299  0.54734784]
[-0.3033266]
[ 0.37670457  0.49665261  0.67300259  0.37429499  0.43166685  0.57349941
  0.3758476   0.51707376  0.60689895  0.55620676]
[-0.70191111]
[ 0.34588257  0.52459593  0.45746977  0.55627441  0.46187217  0.53974172
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[-0.67978993]
[ 0.45720678  0.59739898  0.49234253  0.47818036  0.45548842  0.63679493
  0.52001508  0.62572533  0.55591209  0.66237715]
[ 1.06627677]
[ 0.35036749  0.41664995  0.63440525  0.52188217  0.34826368  0.47322096
  0.59135561  0.73388063  0.55946719  0.51515694]
[ 1.24912441]
[ 0.49447432  0.62246343  0.52180738  0.51719489  0.35084484  0.49960034
  0.49491196  0.54893457  0.45358634  0.5258396 ]
[-0.79336101]
[ 0.40291664  0.56714688  0.52584645  0.4361131   0.49476242  0.36297708
  0.61718503  0.75826656  0.56026405  0.52625902]
[-0.95496743]
[ 0.45315564  0.5260899   0.54000741  0.4409252   0.69280667  0.24572994
  0.61732249  0.47402185  0.40184012  0.38834816]
[ 0.7678395]
[ 0.47984771  0.49933707  0.72362814  0.48734174  0.2448497   0.55555935
  0.51900367  0.60372881  0.36852106  0.59373262]
[-0.54227095]
[ 0.55031201  0.77034803  0.448693    0.3118579   0.53772035  0.26364138
  0.66783465  0.53119934  0.2856359   0.51972882]
[ 1.9255031]
[ 0.28108431  0.28103342  0.7068924   0.44545924  0.3861585   0.46889367
  0.66971422  0.5504792   0.47258086  0.5202316 ]
[-0.95312551]
[ 0.50853009  0.74619398  0.4851932   0.35936454  0.68581787  0.24502457
  0.6674082   0.52588627  0.31492953  0.27835568]
[-0.46614334]
[ 0.39184784  0.39261199  0.57406865  0.4957625   0.41685628  0.36640597
  0.52651541  0.32601658  0.45830896  0.46946315]
[ 0.05773525]
[ 0.51576397  0.6418502   0.57523023  0.3407735   0.64992368  0.54369821
  0.47895409  0.48585559  0.54869223  0.57374956]
[-1.08435818]
[ 0.47673619  0.55664962  0.45931677  0.46149108  0.69333163  0.32939412
  0.62264469  0.41647383  0.36417041  0.42254334]
[ 0.07509201]
[ 0.32880997  0.67121931  0.70554115  0.41313811  0.39298984  0.55775324
  0.49096374  0.54695622  0.52156634  0.4908559 ]
[ 0.69099654]
[ 0.53481252  0.53627023  0.60373476  0.33570596  0.48094139  0.51054268
  0.56896218  0.55697826  0.42730423  0.67566702]
[-0.2646059]
[ 0.48015759  0.71931008  0.42918421  0.57663966  0.50482383  0.62986117
  0.58586287  0.57135273  0.3839432   0.57589555]
[-0.46273554]
[ 0.50159638  0.53266305  0.49670672  0.52140511  0.52067575  0.58664016
  0.51114539  0.35869201  0.48370536  0.34875284]
[-0.73214673]
[ 0.45826551  0.62455645  0.46380499  0.50499175  0.62270852  0.34685375
  0.64562014  0.53686198  0.34857505  0.45631355]
[-0.63661303]
[ 0.402611    0.38426953  0.65858798  0.54542867  0.45172398  0.4913419
  0.56714433  0.50399588  0.48421517  0.51693997]
[-0.39143528]
[ 0.45744435  0.54181999  0.43805033  0.35698089  0.61285121  0.45326181
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[ 0.28819175  0.37819493  0.66404649  0.53516599  0.27487136  0.64897031
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[ 0.61569385  0.65559566  0.40928013  0.43680242  0.65143491  0.52906211
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[-0.32403684]
[ 0.55811133  0.75173518  0.33810103  0.3325747   0.7229903   0.26669217
  0.71046666  0.45707924  0.30288442  0.28383343]
[ 0.76431129]
[ 0.52017123  0.58948433  0.53517356  0.37167811  0.56463116  0.42819057
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[ 0.18517956]
[ 0.37081596  0.58684497  0.44668082  0.53436213  0.35774792  0.57057618
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[-0.73535391]
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[-1.15910386]
[ 0.6175264   0.60984901  0.43543615  0.47360936  0.7530672   0.36180341
  0.69663628  0.4767419   0.44234602  0.397597  ]
[ 0.85791083]
[ 0.63430369  0.82819317  0.21849835  0.35664268  0.80919596  0.3098629
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[ 0.43504841  0.45010458  0.50243885  0.53646463  0.33833998  0.42339062
  0.52678248  0.55806205  0.62568514  0.59916899]
[ 0.58695302]
[ 0.50460772  0.62153853  0.36998476  0.41725479  0.68789226  0.31131596
  0.55077761  0.55124497  0.44456218  0.4755409 ]
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[ 0.48590311  0.66760451  0.4275234   0.50473344  0.67895248  0.4385582
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[ 0.29572493]
[ 0.47083596  0.65061193  0.34792635  0.42012219  0.6403622   0.5436222
  0.49384096  0.50507528  0.38125564  0.43881764]
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[ 0.39247918  0.53429953  0.4647051   0.52691328  0.49969046  0.4912371
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[ 0.37027842]
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[ 1.22210709]
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[ 1.70590121]
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[ 1.6733388]
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[ 0.29767028]
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[ 1.08556115]
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[ 0.73727071]
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[ 0.23129731]
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[ 1.10438597]
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[ 1.31765451]
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[ 1.06936926]
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[ 0.24781854]
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[ 0.00132846]
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[ 0.00588574]
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[ 0.58458562]
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[ 0.31426474]
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[ 0.72412923]
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[ 0.13048302]
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[ 0.27017412]
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[ 1.57019708]
[ 0.49420967  0.57797754  0.52121979  0.40686116  0.62230108  0.40849345
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[ 0.13560919]
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[ 0.073007]
[ 0.34750792  0.36110989  0.71002384  0.57865301  0.21675348  0.64231701
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[ 0.70323167]
[ 0.68041728  0.71226632  0.45512464  0.32160641  0.82023475  0.2821197
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[ 1.86969166]
[ 0.48791113  0.46095164  0.56618465  0.45570798  0.52451335  0.40469817
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[-0.67475421]
[ 0.58330022  0.63069829  0.50599419  0.52601263  0.30758509  0.44415009
  0.6353329   0.59344882  0.41805935  0.54548941]
[ 1.10591255]
[ 0.7040937   0.80758384  0.36111307  0.41709988  0.77635556  0.27830077
  0.7049476   0.44147637  0.20053133  0.30549154]
[-0.26272106]
[ 0.40901811  0.36211522  0.61771915  0.54771998  0.2882375   0.44186829
  0.50399744  0.66804265  0.65077504  0.64895636]
[-0.24279902]
[ 0.36715226  0.32835588  0.61456756  0.48842957  0.37741158  0.51012688
  0.46572913  0.56071153  0.63478244  0.68883864]
[-0.32315586]
[ 0.44004467  0.47468055  0.57414188  0.57008578  0.41620016  0.43988401
  0.52117395  0.37854586  0.46443559  0.48751605]
Progress: 63.1% ... Training loss: 0.625 ... Validation loss: 1.090[-0.05239932]
[ 0.25082698  0.249351    0.70161935  0.54474151  0.22249341  0.47986407
  0.55882865  0.63377801  0.576849    0.66331421]
[-0.66475381]
[ 0.48728717  0.59777637  0.50719868  0.44278976  0.63179108  0.55844605
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[-0.59404292]
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[-0.53645931]
[ 0.60993034  0.60303349  0.39264827  0.41803246  0.59027739  0.37238373
  0.68915632  0.3819653   0.40205682  0.36617626]
[ 0.33936202]
[ 0.45061492  0.65059473  0.47881282  0.34757448  0.61977301  0.3164375
  0.72477979  0.5426392   0.28559268  0.48653436]
[ 3.04811507]
[ 0.72390624  0.67764177  0.52581858  0.38094845  0.57283907  0.29839082
  0.60432304  0.42357812  0.22496455  0.3721463 ]
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[ 0.55880253  0.77522335  0.37684842  0.4809927   0.65391853  0.32872426
  0.59040595  0.40564118  0.29561961  0.34721015]
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  0.61054367  0.48341261  0.39768882  0.48122823]
[ 0.75836036]
[ 0.35426383  0.50672881  0.6168785   0.49457953  0.36218311  0.5565676
  0.59715386  0.61426951  0.45533526  0.66458411]
[ 0.6077282]
[ 0.33363615  0.40881266  0.66254153  0.59056512  0.15624496  0.65392211
  0.46949483  0.72774876  0.68408848  0.58275676]
[-0.31695308]
[ 0.42310351  0.48079439  0.67314451  0.53301054  0.31939579  0.60296585
  0.44898439  0.65057101  0.5682401   0.53684975]
[ 1.14351396]
[ 0.54213421  0.83547407  0.27218269  0.4173941   0.67925429  0.28211585
  0.72390967  0.54827153  0.25073915  0.37271263]
[-0.00573722]
[ 0.37735163  0.44319654  0.50587955  0.48876791  0.33760371  0.50092891
  0.5817013   0.62844068  0.65506084  0.5381993 ]
[ 0.55187938]
[ 0.55497571  0.76033547  0.3993038   0.37485311  0.58577118  0.38456602
  0.64994491  0.53428753  0.30262982  0.55428333]
[ 0.14858543]
[ 0.3365713   0.33579304  0.69429012  0.73706837  0.17632614  0.66208
  0.43805574  0.73779245  0.67158524  0.63419402]
[ 0.35776382]
[ 0.41033344  0.4022816   0.63240278  0.40109156  0.39662797  0.62305525
  0.4836365   0.49985073  0.60014901  0.73300651]
[-0.13407243]
[ 0.4550213   0.68536214  0.43669442  0.50614487  0.459881    0.43860227
  0.60544797  0.52270631  0.35968152  0.43131474]
[ 1.31463327]
[ 0.51981718  0.71679554  0.53196407  0.41699024  0.6947415   0.35062001
  0.58348401  0.53290152  0.3271197   0.36626839]
[-0.10232482]
[ 0.47450623  0.6584394   0.35599019  0.42605095  0.59554709  0.53427569
  0.57829895  0.49360504  0.51823052  0.37874022]
[-0.63571558]
[ 0.65504682  0.71363605  0.27588237  0.43083923  0.66321682  0.38201396
  0.62790468  0.37199052  0.37326487  0.37446813]
[-0.41881049]
[ 0.60971241  0.62685174  0.60584666  0.38537516  0.52329136  0.42194042
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[ 0.3365713   0.33579304  0.69429012  0.73706837  0.17632614  0.66208
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[ 0.43828664  0.40917925  0.59091367  0.57074683  0.31108972  0.53743593
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[ 0.55266165]
[ 0.31925883  0.54114243  0.57284431  0.40880959  0.49270784  0.53690852
  0.4091938   0.46158348  0.56979215  0.53106073]
Progress: 63.4% ... Training loss: 0.624 ... Validation loss: 1.086[-0.72017813]
[ 0.35625792  0.59145177  0.57036349  0.36206548  0.49909118  0.35680231
  0.66687791  0.42618952  0.36695752  0.41577327]
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[ 2.52091463]
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[ 0.86054187]
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[ 1.50424292]
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[ 0.03526204]
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[ 1.88421871]
[ 0.64000592  0.82704775  0.26208914  0.28058102  0.84849905  0.26066881
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[ 0.83146879]
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[ 0.5498074]
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[ 1.18876026]
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[ 0.15515411]
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[ 1.65888104]
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[ 0.09367127]
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[ 1.38722766]
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[ 0.11362321]
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[ 2.49641869]
[ 0.31029089  0.41687573  0.75011383  0.35327259  0.34047002  0.55910037
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[-1.25705424]
[ 0.520465    0.54443089  0.54354898  0.38753963  0.72467593  0.26169818
  0.58126674  0.47817968  0.50112881  0.42810871]
[ 0.17921706]
[ 0.49425523  0.61177949  0.41539596  0.50626794  0.4709021   0.61632288
  0.54649188  0.59249909  0.52253524  0.60401833]
[ 0.01010534]
[ 0.3926338   0.3711676   0.73859674  0.52125091  0.30032258  0.62822864
  0.42228673  0.59530166  0.51569342  0.54025876]
[-0.31565154]
[ 0.39258742  0.53841894  0.70438275  0.4299658   0.44991155  0.52683675
  0.4747018   0.60262663  0.42272594  0.33761851]
[-0.94342038]
[ 0.60602618  0.73188397  0.33858871  0.34178017  0.74601546  0.33310475
  0.61035331  0.2097494   0.38963256  0.24195901]
[ 1.12934266]
[ 0.60182043  0.76006716  0.24576164  0.41456697  0.63911742  0.3794081
  0.62882914  0.48972416  0.2882865   0.50466371]
[-0.61383144]
[ 0.59206238  0.51167311  0.57748288  0.4825314   0.35442958  0.48116929
  0.39569249  0.57376277  0.63881015  0.48839267]
[ 1.38451027]
[ 0.27768284  0.38215685  0.63092237  0.58138446  0.30470376  0.75473667
  0.34762416  0.6454194   0.60226285  0.72525923]
Progress: 63.7% ... Training loss: 0.624 ... Validation loss: 1.085[-0.93404471]
[ 0.51110175  0.48485227  0.41621842  0.55884036  0.56300904  0.5987878
  0.54287701  0.37285368  0.45280134  0.45475397]
[ 1.41467209]
[ 0.50938052  0.64832127  0.4564656   0.30868296  0.81376186  0.16972899
  0.69670557  0.47495209  0.28566838  0.32136829]
[-0.38914859]
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[ 1.06615814]
[ 0.57256517  0.44890207  0.58763398  0.46247532  0.32659154  0.43438284
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[-1.29109306]
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  0.6388714   0.40614078  0.37869914  0.44413731]
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[ 0.37633909  0.7230892   0.42047549  0.44071831  0.53032792  0.65808975
  0.38816805  0.55250046  0.44298962  0.64945176]
[ 0.03087259]
[ 0.49738042  0.53132423  0.51134181  0.37657323  0.64577816  0.44000918
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[ 0.6565695]
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[-0.31594535]
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[ 0.47530669  0.36601966  0.6669047   0.5386826   0.33491722  0.55500722
  0.5354164   0.67374     0.59262162  0.65490841]
[-0.24156913]
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[ 1.58056806]
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[ 1.83870741]
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  0.60091936  0.47200916  0.30405979  0.44471685]
[ 0.10000322]
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[ 0.42622736]
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[ 0.8984553]
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[ 1.0619788]
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[ 0.07257199]
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[ 0.0794528]
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  0.51534823  0.43760463  0.58257181  0.44411776]
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  0.4944056   0.66907248  0.50306871  0.54387128]
[ 0.69173938]
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[ 2.2338809]
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[ 0.54954186]
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[ 0.14266247]
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[ 0.25614201]
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[ 0.26505276]
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[ 0.6805119]
[ 0.65944345  0.76828304  0.3832715   0.30475611  0.86767687  0.36367075
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[ 0.48669846  0.5969956   0.52432694  0.48143756  0.4097224   0.5585653
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[ 0.8365749]
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[ 2.35009142]
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[ 0.73606183]
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[ 0.07842514]
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[ 0.09305684]
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[ 0.23966986]
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[ 0.93378423]
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[ 0.83869948]
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[ 1.76005224]
[ 0.57148681  0.67420282  0.44527458  0.32291725  0.72966246  0.22485322
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[ 0.11083868]
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[ 2.84101429]
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[ 0.25813199]
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[ 0.01266836]
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[ 1.69376744]
[ 0.58863599  0.6792628   0.47090017  0.41797189  0.53022577  0.51186673
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[ 0.62725321]
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[ 1.09755241]
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[ 1.11843323]
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[ 0.29189818]
[ 0.52139045  0.6615338   0.57745984  0.43338529  0.33376176  0.37698679
  0.64849518  0.51651948  0.38401684  0.48415564]
[ 0.06467653]
[ 0.41465294  0.47594069  0.66538232  0.5396947   0.28350464  0.62621406
  0.46349423  0.65256867  0.68163464  0.57325968]
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[ 0.73320924]
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[ 0.72711953]
[ 0.29087408  0.25494426  0.72611896  0.54306892  0.16512726  0.70388949
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[ 0.23020534]
[ 0.59816841  0.75801256  0.43474633  0.35051836  0.53052086  0.38091274
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[ 1.04470861]
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[-1.11675012]
[ 0.59185127  0.77759542  0.27241908  0.43944731  0.7496435   0.40628039
  0.72005732  0.47082597  0.2904733   0.4736553 ]
[ 0.36444037]
[ 0.28313932  0.3111693   0.75488143  0.51981618  0.25093786  0.59904578
  0.34697186  0.63513687  0.65102697  0.69810292]
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  0.4624733   0.71498361  0.51838285  0.51737436]
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[ 0.4040946   0.44201705  0.56778422  0.4341312   0.47648407  0.40830569
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[-1.03836688]
[ 0.55052212  0.7917398   0.5479985   0.38998262  0.65900488  0.3655551
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[ 0.05055036]
[ 0.47153456  0.51898742  0.58510692  0.45568082  0.35558793  0.48812798
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[ 0.40183898  0.55964239  0.54421954  0.47479403  0.65352119  0.37505008
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[ 0.01679302]
[ 0.3865415   0.54402236  0.68237658  0.46180946  0.22328955  0.61805134
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[ 1.14947491]
[ 0.26368733  0.39202897  0.62875595  0.44158184  0.34101232  0.44770734
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[ 0.33386672  0.50083892  0.68877619  0.44857882  0.55982992  0.53166622
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[ 0.09243411]
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[ 0.928453]
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[ 0.30671053]
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[ 0.64766167]
[ 0.41936166  0.68705064  0.43136446  0.36215252  0.62839544  0.45443823
  0.47638612  0.29789616  0.39680173  0.4523539 ]
[ 0.16393663]
[ 0.35774426  0.54375758  0.4683627   0.580991    0.30275957  0.57169648
  0.57547077  0.63621456  0.52039581  0.5513832 ]
[ 0.29759871]
[ 0.64784231  0.90365552  0.17512325  0.37356286  0.86223283  0.32402792
  0.64601038  0.29752013  0.19238052  0.32550981]
[ 0.51349949]
[ 0.47763019  0.62198651  0.51672187  0.48059033  0.51904212  0.47283547
  0.45496289  0.5439285   0.43388667  0.61279917]
[-0.89813942]
[ 0.37082042  0.55888981  0.59796779  0.43101435  0.54118856  0.49649679
  0.46724669  0.35986836  0.42604245  0.47719503]
[-0.13247041]
[ 0.58656077  0.6811462   0.4292851   0.527586    0.35577579  0.47552577
  0.6384227   0.72124947  0.42538674  0.44264583]
[ 0.08311926]
[ 0.44959206  0.55486921  0.53799411  0.40062138  0.39316686  0.39118793
  0.58172729  0.48064467  0.41145047  0.59506967]
[-0.00944284]
[ 0.37409717  0.48316648  0.73280067  0.42349334  0.42072355  0.56179797
  0.4226792   0.65332443  0.61300857  0.66165075]
[ 0.2918488]
[ 0.26834736  0.27373278  0.75244609  0.62385012  0.15692383  0.67814713
  0.44606108  0.76085289  0.76703256  0.69340483]
Progress: 64.0% ... Training loss: 0.624 ... Validation loss: 1.082[-0.72108832]
[ 0.40619513  0.64138502  0.39734598  0.51720876  0.43951483  0.41591457
  0.58908003  0.61321772  0.60518425  0.55577057]
[-0.84261413]
[ 0.72080043  0.68831725  0.33866682  0.46257733  0.64862616  0.45030367
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  0.62945833  0.27309619  0.3313742   0.32361069]
[ 1.46526764]
[ 0.40611677  0.55194434  0.62355346  0.49557758  0.38127972  0.5959403
  0.39721561  0.60381994  0.57456621  0.49676477]
[-1.17341056]
[ 0.71020372  0.8304744   0.19930702  0.37656695  0.84846867  0.30634168
  0.67855416  0.2984243   0.23197619  0.29341882]
[ 0.91836237]
[ 0.4954389   0.52280028  0.59367195  0.45796196  0.40249989  0.451695
  0.44370194  0.4640882   0.5352513   0.65760921]
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  0.3293084   0.59009641  0.71399929  0.54586454]
[-0.24288864]
[ 0.53707083  0.78816221  0.28376311  0.44051519  0.7113161   0.55225116
  0.50673284  0.46263813  0.33430393  0.4644039 ]
[ 1.34803363]
[ 0.54158441  0.59782283  0.36059411  0.51705284  0.56561063  0.57838942
  0.53466818  0.43528066  0.42665716  0.37651255]
[-0.01363565]
[ 0.40494684  0.39812327  0.804857    0.4306884   0.23303973  0.48530612
  0.33301752  0.5396218   0.52292545  0.63272253]
[-1.13669773]
[ 0.43645721  0.65400175  0.46000557  0.45629993  0.62226795  0.50998709
  0.51061383  0.40406414  0.38114698  0.447     ]
[ 2.2020675]
[ 0.66689429  0.79535107  0.37341625  0.28979854  0.73855601  0.27790583
  0.7337027   0.43818847  0.17551825  0.43559249]
[-0.08412888]
[ 0.39157729  0.33572264  0.70495306  0.54266701  0.29326216  0.6170091
  0.4970054   0.74788826  0.74648771  0.61576568]
[ 1.05446174]
[ 0.67410467  0.80933807  0.29804143  0.24461879  0.87207758  0.15347329
  0.6810932   0.3085102   0.2618848   0.31685587]
[ 1.04253474]
[ 0.50977549  0.62720173  0.37308706  0.47601813  0.67844114  0.41772028
  0.66190135  0.45028591  0.33688388  0.36885863]
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[ 0.46363678  0.55614147  0.56594374  0.48861855  0.44179963  0.45612673
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[ 0.01077101]
[ 0.25509079  0.36759097  0.69656502  0.56426177  0.22109544  0.63693835
  0.41573131  0.63577654  0.59774859  0.69073089]
[ 0.72575058]
[ 0.41829431  0.51037777  0.49206988  0.49442509  0.61901798  0.29131447
  0.65800066  0.63271409  0.46962132  0.46042797]
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[ 0.46676442  0.67672085  0.48794595  0.38445427  0.54654343  0.3317259
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[-0.30659943]
[ 0.62786044  0.64012619  0.48961278  0.47583026  0.4892246   0.44456976
  0.40221263  0.46047571  0.49065028  0.43928144]
[-1.12131136]
[ 0.49458614  0.57932654  0.46771571  0.51445274  0.58998657  0.39074053
  0.59812618  0.4499815   0.43094975  0.40362597]
[ 0.50581852]
[ 0.29897338  0.47054085  0.67368661  0.53659954  0.28801734  0.72288069
  0.3070234   0.52360851  0.61866464  0.7171326 ]
[-1.14064501]
[ 0.68212141  0.85383838  0.24823168  0.4877244   0.76330393  0.4793215
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[-0.33233769]
[ 0.356152    0.46934978  0.68891554  0.44517961  0.4044469   0.41532649
  0.49813109  0.55336105  0.36923647  0.53486189]
[-0.97617548]
[ 0.41552834  0.48854511  0.53376519  0.47264808  0.5002274   0.39782516
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[ 0.38900405  0.46378128  0.65872854  0.43566454  0.43122796  0.49584923
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[-0.96403459]
[ 0.45270549  0.5248128   0.54035451  0.44168473  0.69151224  0.24618015
  0.61701709  0.47426825  0.40292758  0.38882867]
[-0.0417651]
[ 0.40360026  0.40136028  0.55406446  0.56120315  0.24730083  0.54253571
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[-0.52030664]
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[ 0.67389491]
[ 0.49278055  0.52837732  0.50109043  0.45524202  0.47628715  0.58393361
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[ 0.77958369]
[ 0.2731862   0.57479622  0.63890416  0.43203914  0.41669925  0.49573399
  0.45681602  0.43854349  0.3467647   0.60342639]
[-0.03889305]
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[ 0.0501796]
[ 0.31929113  0.62778035  0.47056532  0.44142804  0.40215347  0.49775835
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[ 0.10911816]
[ 0.30161268  0.25014738  0.62717656  0.57984687  0.22041134  0.66666259
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[ 0.30376805  0.46681931  0.67540086  0.43217991  0.34556489  0.47965526
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[ 0.6004311]
[ 0.64442673  0.74575729  0.30969837  0.3566678   0.85538612  0.23474202
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[ 0.3898591   0.37503141  0.6200134   0.59548221  0.30342883  0.63017996
  0.59514969  0.76242369  0.63259815  0.66261526]
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  0.43930388  0.60258004  0.59866822  0.72136347]
[ 0.21458572]
[ 0.52844466  0.70088078  0.35818486  0.49884571  0.63451587  0.4787836
  0.59745036  0.60368211  0.50648741  0.51582843]
[ 0.12740339]
[ 0.34982731  0.45958092  0.59415265  0.5842051   0.24967248  0.57145623
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  0.50193153  0.45355347  0.47146132  0.55208531]
[ 0.36348974]
[ 0.54118132  0.65312449  0.30062519  0.42689577  0.575727    0.3912873
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[ 0.47199251  0.63808003  0.56732367  0.3507827   0.61943909  0.25174949
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[ 0.51467968  0.63970245  0.46828924  0.42488608  0.36808872  0.55089729
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[ 0.52505851]
[ 0.47657598  0.64399776  0.45524163  0.44012283  0.50465616  0.42443503
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[ 1.20497878]
[ 0.68490351  0.82764566  0.26359486  0.31735384  0.77006608  0.26404246
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[ 0.39911092  0.41246351  0.63659884  0.59562994  0.20752306  0.64540663
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[ 0.62407906]
[ 0.44029801  0.55446988  0.50215198  0.45036501  0.53997234  0.57056799
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[ 1.02147015]
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[ 1.02108628]
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[ 1.43846932]
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[ 0.20887762]
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[ 2.17316427]
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[ 0.3530026]
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[ 0.82130636]
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[ 0.18834602]
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[ 0.39609554]
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[ 0.51838386]
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[ 0.31901814]
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[ 0.9939185]
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[ 0.36177096]
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[ 0.40350177  0.62386011  0.49979104  0.40023238  0.55798309  0.43552847
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[ 0.40862587  0.64540954  0.49423577  0.44852896  0.625456    0.61021823
  0.5077353   0.59703593  0.45272332  0.60471703]
[-0.07298719]
[ 0.32241273  0.43564765  0.64924271  0.62016903  0.13062289  0.58149674
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[-0.46431151]
[ 0.48862305  0.53789373  0.65793008  0.43581476  0.37508588  0.48772398
  0.40714672  0.51110729  0.52877562  0.53576477]
Progress: 64.3% ... Training loss: 0.623 ... Validation loss: 1.079[ 0.20006812]
[ 0.58758961  0.81005624  0.33996903  0.30859352  0.82989519  0.19208543
  0.68455028  0.52655864  0.20601559  0.28361436]
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[ 0.223919]
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[ 0.44906783  0.52154025  0.56737929  0.51770366  0.5700011   0.50641395
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[ 0.97237633]
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[ 0.00276202]
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[ 2.00825165]
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[ 0.19310187]
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[ 0.04574286]
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[ 0.05076279]
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[ 0.14142762]
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[ 0.36288549]
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[ 0.50215599]
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[ 0.01099412]
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[ 0.61407128]
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[ 1.8238214]
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[ 2.33094741]
[ 0.61409973  0.8119465   0.24165339  0.31476803  0.82117149  0.34055632
  0.63543869  0.37971284  0.24482468  0.29290043]
[ 0.45595697]
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[ 0.11355529]
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[ 0.66383848  0.80198424  0.22351582  0.43625163  0.81375177  0.48835704
  0.56335433  0.33950742  0.27833146  0.32054668]
[ 0.084627]
[ 0.50212618  0.67629513  0.52210206  0.48232569  0.46919577  0.57216868
  0.50863347  0.6953026   0.35596027  0.47025492]
[-0.47115968]
[ 0.36530757  0.60143605  0.57078817  0.42082324  0.3691546   0.48945114
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[-0.42148884]
[ 0.5106422   0.3022017   0.64824789  0.499201    0.3153729   0.46522686
  0.54101003  0.47759268  0.52651867  0.46808313]
Progress: 64.6% ... Training loss: 0.623 ... Validation loss: 1.087[ 0.35696261]
[ 0.26624494  0.40842495  0.82192153  0.4254581   0.13260636  0.59418548
  0.46405599  0.72051673  0.65016582  0.73409296]
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[ 0.47765922  0.62043301  0.45745389  0.46513863  0.69480464  0.35618852
  0.59912937  0.47399643  0.43434798  0.50721996]
[ 2.05932021]
[ 0.67428651  0.68606272  0.32633931  0.34621963  0.79162803  0.14425964
  0.61499213  0.3929108   0.3375084   0.31053237]
[ 0.51412257]
[ 0.58136972  0.76030384  0.40560367  0.33681912  0.72149928  0.34808046
  0.62199408  0.52382569  0.23177882  0.32945853]
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[ 0.206481]
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[ 0.0450167]
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[ 0.46020426  0.5184122   0.62743918  0.34312058  0.58174813  0.47535546
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[ 0.58004008  0.75490259  0.39801115  0.30304166  0.83825938  0.21505328
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[ 1.01853296]
[ 0.38181899  0.6299263   0.50383643  0.32734201  0.73583162  0.38053104
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[ 0.43678999  0.66265564  0.34538362  0.45448838  0.63947358  0.46990338
  0.52183064  0.46381152  0.46463299  0.46705458]
Progress: 64.9% ... Training loss: 0.623 ... Validation loss: 1.089[ 0.41728079]
[ 0.42165663  0.73455642  0.36802431  0.38938468  0.74837819  0.29558601
  0.67558154  0.37497685  0.28575188  0.37635631]
[ 0.49288258]
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[ 0.74278041]
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[ 0.19835019]
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[ 0.21466964]
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[ 0.42733325  0.58026478  0.48091314  0.44254172  0.566034    0.40588156
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[ 1.60306268]
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[ 1.11516556]
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[ 0.64930887]
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[ 0.402869]
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[ 0.54430388]
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[ 0.37623131]
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[ 0.02322919]
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[ 0.51299995]
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[ 1.70971033]
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[ 1.17512471]
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[ 1.82109375]
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[ 3.41919823]
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[ 3.14476601]
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[ 2.2172718]
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[ 1.47225986]
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[ 0.10185088]
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[ 0.04756525]
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[ 0.367505]
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[ 0.59612517]
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[ 0.71215358]
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[ 0.95147409]
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[ 0.57400475]
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[ 0.21156807]
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[ 0.48535435]
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[ 0.41487761]
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[ 0.72954397]
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[ 1.11906135]
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[ 0.1191959]
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[ 0.24743642]
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[ 0.91719312]
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[ 0.2019164]
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[ 0.46811487]
[ 0.53027551  0.63999705  0.3722229   0.38717246  0.70517024  0.31614634
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[ 0.44098549]
[ 0.63067064  0.74433265  0.3535097   0.41215988  0.654064    0.45646455
  0.42890764  0.41414206  0.35194848  0.4547067 ]
[ 1.05821453]
[ 0.32551355  0.51341645  0.53130985  0.41146708  0.58403709  0.45136052
  0.57160284  0.4057195   0.49800085  0.43178929]
[-0.0990815]
[ 0.48404064  0.5804792   0.57056752  0.35392556  0.56472518  0.45778961
  0.47104429  0.44857703  0.48919057  0.44705908]
[ 1.65265335]
[ 0.35117542  0.33102784  0.69842191  0.43400774  0.33011019  0.62956124
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[-0.88850956]
[ 0.58606781  0.7352022   0.36134775  0.54255416  0.61762486  0.39219299
  0.63355195  0.43236067  0.39923594  0.39331461]
Progress: 65.1% ... Training loss: 0.622 ... Validation loss: 1.076[-0.2005688]
[ 0.3736865   0.38293189  0.54621961  0.65662344  0.33902975  0.5594861
  0.57140282  0.75285907  0.62584321  0.62639964]
[ 0.08651847]
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[ 0.18474822]
[ 0.4177431   0.47265133  0.63901244  0.40783425  0.38353057  0.51999301
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[ 0.21219781]
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[ 0.04589144]
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[ 0.89152998]
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[ 1.74886729]
[ 0.47867843  0.61925779  0.7309131   0.34603429  0.36101911  0.41121877
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[ 1.95997336]
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[ 0.27942172]
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[ 0.53075157]
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[ 0.8416549]
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[ 1.61724029]
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[-0.95829833]
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[ 0.99753168]
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[ 0.75213022]
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[ 0.31591711]
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[ 0.66573438]
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[ 0.34214097]
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[-0.16909217]
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[ 0.05141896]
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[ 0.47600574]
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[ 1.52307453]
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[ 0.43969643]
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[ 1.08728926]
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[ 1.34977176]
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[ 1.06646976]
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[ 1.43396097]
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[ 0.33764493]
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[ 0.72911565]
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[ 1.75620283]
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[ 0.19545558]
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[ 1.89437293]
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[ 0.26552489]
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[ 0.37349396  0.41168991  0.63148358  0.63003295  0.28771028  0.6992679
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[ 1.71881876]
[ 0.51526735  0.57599641  0.47815286  0.32425001  0.67725788  0.30258523
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[ 1.66148146]
[ 0.60097728  0.7773869   0.38891653  0.26079318  0.77721011  0.15990318
  0.60351049  0.33921781  0.25084704  0.38250626]
Progress: 65.4% ... Training loss: 0.621 ... Validation loss: 1.074[-0.36538935]
[ 0.5382938   0.60720153  0.5073418   0.36853583  0.56026244  0.37995031
  0.53390072  0.52855842  0.61872017  0.49841382]
[ 1.85705988]
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[ 0.63112527]
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[ 0.05670711]
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[ 3.03593133]
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[ 0.30282133]
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[ 0.01924017]
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[ 1.54810604]
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[ 0.91619718]
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  0.52393085  0.61194647  0.46622942  0.66500528]
[ 1.24375908]
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[ 0.20408386]
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[ 1.92755928]
[ 0.53597057  0.72260904  0.37326304  0.39373881  0.59678414  0.46264116
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[ 1.83410395]
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[ 0.74428385]
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[ 0.22640529]
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[ 0.24689606]
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[ 0.77784865]
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[ 0.38717592]
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[ 0.11701446]
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[ 2.86703388]
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[ 2.27093678]
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[ 2.64676734]
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[ 0.46549934]
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[ 1.03180595]
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[ 0.13007377]
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[ 0.02364555]
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[ 1.83347371]
[ 0.58067331  0.71330219  0.43193385  0.43759972  0.6881758   0.39621642
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[ 0.54634474]
[ 0.51639867  0.65483917  0.33918443  0.39046609  0.67811916  0.36042934
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[ 0.44995351  0.62930835  0.51697584  0.49680904  0.52636939  0.36320196
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[-0.43592449]
[ 0.37968386  0.65395253  0.5745301   0.53979719  0.42513184  0.44695234
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[ 0.4341124   0.41822025  0.77362831  0.54086857  0.29344087  0.58502332
  0.36248006  0.55832435  0.53345839  0.58264661]
Progress: 65.7% ... Training loss: 0.621 ... Validation loss: 1.069[-0.63031224]
[ 0.70948695  0.70508902  0.30048231  0.3504581   0.82797491  0.28013595
  0.69360252  0.35712289  0.3708369   0.33678015]
[ 1.0845347]
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[ 0.07676315]
[ 0.60691448  0.58876207  0.48434324  0.49644952  0.57881233  0.48352607
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[ 0.39942633]
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[ 1.05007569]
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[-1.14933685]
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[ 0.97901565]
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[ 0.208139]
[ 0.51999624  0.59901795  0.44640737  0.39064213  0.68762249  0.33542638
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[ 0.28068424]
[ 0.53252808  0.6420072   0.36586315  0.39191101  0.69068994  0.38276292
  0.61328432  0.41768408  0.30729861  0.386992  ]
[ 0.00711273]
[ 0.34367303  0.36436322  0.64682784  0.51075231  0.22671428  0.49140948
  0.39817417  0.61948484  0.65699449  0.71079987]
Progress: 66.0% ... Training loss: 0.620 ... Validation loss: 1.071[-0.24873434]
[ 0.39376233  0.57280613  0.79381361  0.48886466  0.25018686  0.53891597
  0.40729427  0.62721535  0.39624155  0.47977046]
[ 0.01202002]
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[ 0.08941144]
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  0.50196375  0.67185984  0.55392727  0.51753125]
[-0.31352731]
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[ 0.63972295  0.8033608   0.25289469  0.31625738  0.74869163  0.28087856
  0.66971043  0.29035156  0.24623537  0.30075219]
[ 1.10389442]
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[ 0.082088]
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[ 0.85463412]
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[ 1.96942642]
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[ 1.26256409]
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[ 0.08631852]
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[ 1.06223178]
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[ 2.07734722]
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[ 0.33956789]
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[ 1.12858028]
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[ 0.21933184]
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[ 3.35651974]
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[ 0.00372561]
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[ 1.45029163]
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[ 0.15767906]
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[ 1.84765016]
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[ 0.74114382]
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[ 0.3688387]
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[ 0.02685394]
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[ 0.56262632]
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[ 0.03518712]
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[ 0.16908285]
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[ 0.15043949]
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[ 1.22634117]
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[ 1.46096157]
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[ 0.98638633]
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[ 0.03112321]
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[ 0.06077708]
[ 0.32586007  0.32506996  0.64703929  0.55680455  0.18780149  0.574993
  0.38848544  0.59124811  0.70294317  0.67501983]
[ 0.71714636]
[ 0.35945179  0.57203357  0.4231089   0.40042636  0.5432272   0.40503835
  0.64275277  0.57618773  0.4663945   0.45544688]
[ 0.70146008]
[ 0.53024368  0.67403817  0.32378319  0.50546138  0.62838089  0.43508513
  0.54614942  0.53753387  0.53755319  0.4650682 ]
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[ 0.44132576  0.54907128  0.64186443  0.49908057  0.26511536  0.53517718
  0.42803799  0.69746566  0.70034521  0.61231391]
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[ 0.47638948  0.68290476  0.35211275  0.46441845  0.51087886  0.25855697
  0.6707193   0.57281619  0.40207047  0.5274037 ]
[ 0.72859388]
[ 0.36243835  0.39524822  0.68083709  0.49372011  0.26815497  0.5596882
  0.4665412   0.71147483  0.65189936  0.58481328]
Progress: 66.3% ... Training loss: 0.620 ... Validation loss: 1.074[ 0.81982405]
[ 0.71118953  0.76866067  0.28023317  0.41659857  0.70127932  0.46234367
  0.59214914  0.4081884   0.2593732   0.35524994]
[ 0.73536347]
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  0.45851076  0.53232277  0.45380383  0.671501  ]
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[ 0.10035877]
[ 0.41112215  0.63394022  0.51224904  0.47763278  0.51157489  0.44040734
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[ 0.13929705]
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[-1.37307972]
[ 0.52157356  0.65913832  0.54803876  0.36651582  0.65377704  0.39932453
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[ 0.16996235]
[ 0.7639191   0.71750948  0.30933829  0.4208825   0.75289001  0.32118346
  0.70478534  0.28877507  0.27768202  0.306109  ]
[ 1.11185552]
[ 0.60412869  0.76225036  0.2442924   0.41195565  0.64251371  0.37767841
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[ 0.9678346]
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  0.6936455   0.34832831  0.31416091  0.29555054]
[ 0.52973243]
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  0.42038998  0.57041102  0.54751066  0.68802013]
[ 0.06800979]
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[ 0.07852618]
[ 0.63607094  0.74529017  0.38955621  0.51574305  0.61207053  0.4351925
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[ 0.43085517]
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  0.3917279   0.6615813   0.72479331  0.65298203]
[ 1.20974525]
[ 0.38335468  0.53727857  0.65842145  0.42612394  0.316738    0.66679378
  0.37334665  0.52643103  0.50989149  0.68229549]
[ 3.24850261]
[ 0.42505309  0.56786996  0.50375396  0.41507219  0.58236441  0.4241613
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[ 0.4954975   0.67444107  0.47863349  0.41686375  0.68429621  0.28860678
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[ 0.12150273]
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[ 0.36011163]
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[ 0.01270984]
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[ 0.66506283]
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[ 0.64359219]
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[ 0.15851374]
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[ 0.48444631]
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[ 0.07414601]
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[ 2.05627757]
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[ 0.52485611]
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[ 1.74283341]
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[ 0.32336231]
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[ 1.16783927]
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[ 0.50501712]
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[ 0.50557428]
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[ 2.53426292]
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[ 0.5737903]
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[ 0.25762118]
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[ 1.06105641]
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[ 1.00316188]
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[ 0.40879345]
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[ 0.19435863]
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[ 0.99727953]
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[ 0.29244665]
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[ 2.43457674]
[ 0.46793721  0.6996325   0.48759681  0.37306866  0.66751399  0.35350591
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[ 1.14658594]
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[ 0.38044483]
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[ 1.87336011]
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[ 1.47420265]
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[ 0.28044587]
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[ 1.19277789]
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[ 2.21765333]
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[ 0.42275373]
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[ 0.91234986]
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[ 0.9716167]
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[ 0.23946067]
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[ 0.68651797]
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[ 0.36696098]
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[ 1.20486601]
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[ 0.64598963]
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[ 0.1613515]
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[ 0.75828032]
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[ 0.01436028]
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[ 1.52224536]
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[ 0.51882824]
[ 0.62079831  0.62262253  0.37252336  0.45143268  0.79322949  0.28349243
  0.59538938  0.35640697  0.37795515  0.37958345]
[ 0.94807337]
[ 0.34058319  0.46627815  0.71633859  0.39603458  0.33790784  0.55064358
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[ 0.47198821  0.60913587  0.60388759  0.57187281  0.33102884  0.54643217
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[ 0.52018655]
[ 0.70786408  0.82214044  0.40312909  0.30707115  0.75324745  0.35922962
  0.59939324  0.2809892   0.30449009  0.34358891]
Progress: 66.6% ... Training loss: 0.620 ... Validation loss: 1.055[-0.78873815]
[ 0.51240336  0.43899022  0.55361668  0.57712172  0.47711187  0.40150162
  0.52740697  0.46348878  0.55050288  0.45552628]
[ 0.29831329]
[ 0.5333871   0.69110263  0.52904846  0.44296224  0.33077905  0.59066497
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[-1.03360209]
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  0.55981109  0.39012755  0.39811683  0.41894144]
[ 1.76308577]
[ 0.5787235   0.66739994  0.49712565  0.28734156  0.71944147  0.41973037
  0.51505053  0.32157915  0.40636287  0.33809171]
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  0.5118589   0.60840221  0.62923039  0.50019235]
[ 1.51689912]
[ 0.4613166   0.44281739  0.47143146  0.35797444  0.72904542  0.24864143
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  0.48127749  0.57883031  0.49122782  0.63815098]
[ 2.11857633]
[ 0.3201947   0.44315582  0.65412961  0.37758281  0.44717545  0.55571141
  0.49856265  0.48488226  0.54107746  0.45896815]
[ 0.66979075]
[ 0.49584009  0.72450064  0.30602498  0.33297473  0.88922712  0.20517027
  0.78608573  0.36885757  0.25631567  0.25359083]
[ 0.38682903]
[ 0.45482123  0.57302172  0.57886495  0.55898276  0.29668034  0.63956132
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[-0.50139229]
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[ 1.64567548]
[ 0.59116273  0.683025    0.46868309  0.41461014  0.53556719  0.50919105
  0.52179326  0.54879077  0.40790397  0.42371909]
[ 0.11507762]
[ 0.65346297  0.65672187  0.37260903  0.39815452  0.73946832  0.42297504
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[ 1.28085565]
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  0.56391171  0.47299361  0.46602555  0.47676399]
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  0.49284933  0.6939481   0.50042735  0.54998161]
[ 0.52524252]
[ 0.49124791  0.50350218  0.60985023  0.36073009  0.58190565  0.54419066
  0.54646294  0.51169124  0.57665129  0.64549235]
[-0.90525569]
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  0.59269619  0.56659172  0.43803202  0.34819644]
[-0.4962779]
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[ 1.13188122]
[ 0.6346608   0.83355043  0.26512526  0.3714505   0.820364    0.24179784
  0.70653976  0.42234216  0.26476383  0.36605739]
[-0.97233947]
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[ 1.03918837]
[ 0.60630486  0.63294613  0.48740127  0.39672653  0.54372196  0.56502419
  0.44707787  0.39426283  0.35506529  0.49534009]
[ 1.10655589]
[ 0.58477635  0.57224613  0.47240578  0.43777319  0.63417151  0.26376724
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[ 0.55092669  0.61658866  0.4891859   0.4786596   0.49415444  0.38157053
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[ 0.5465222]
[ 0.66900962  0.8008231   0.32792626  0.2242749   0.87095626  0.26467399
  0.70675492  0.2205535   0.23277988  0.33311952]
[ 2.06419014]
[ 0.64868658  0.70767453  0.45804567  0.39129006  0.600371    0.43381558
  0.60331462  0.36896197  0.30578543  0.42616061]
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[ 0.33434076]
[ 0.31137244  0.41181752  0.66477903  0.39094861  0.57465     0.42633458
  0.51590777  0.53489898  0.44324897  0.44133289]
[-0.43951224]
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[ 0.51941976]
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[ 0.59554738]
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  0.49442799  0.60258299  0.5574191   0.51484921]
[ 0.3978343]
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[-0.47801247]
[ 0.53506163  0.62252763  0.42817102  0.35045621  0.60633609  0.44916158
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[ 0.09370394]
[ 0.60941281  0.77531962  0.50686191  0.31230154  0.78054103  0.33060517
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[ 0.63523974  0.78968956  0.23847672  0.2685131   0.90276068  0.21243037
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[ 2.2071192]
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[ 0.31376311]
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[ 1.03922902]
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[ 1.81589018]
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[ 0.35108233]
[ 0.42668234  0.55369821  0.5550309   0.43708621  0.46993415  0.3584907
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[ 0.3798651]
[ 0.62719235  0.75697689  0.27687585  0.44720614  0.69232401  0.30717629
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[-0.72152487]
[ 0.52874634  0.53324972  0.49699786  0.42523138  0.54191486  0.26592373
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[-0.93160319]
[ 0.41115236  0.53957163  0.599921    0.49936221  0.55683658  0.35701984
  0.61350513  0.63739554  0.46239056  0.48506583]
Progress: 66.9% ... Training loss: 0.619 ... Validation loss: 1.052[-0.02356516]
[ 0.27862017  0.40747484  0.64459899  0.53159291  0.36257295  0.55477157
  0.53269916  0.72449791  0.56841302  0.52562872]
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[ 0.33462791]
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[ 0.47791551]
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[ 0.08328042]
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[ 0.20553936]
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[ 0.0918407]
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[ 0.68022121]
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[ 0.98098814]
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[ 0.00952013]
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[-0.3929909]
[ 0.64046177  0.79465764  0.33454296  0.5188826   0.69615513  0.52549185
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[ 0.34299899]
[ 0.39601574  0.52052455  0.58767441  0.33362078  0.57145304  0.4409911
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[ 1.70637098]
[ 0.69867002  0.6938219   0.35604805  0.34624476  0.75634566  0.28202901
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[-0.84205928]
[ 0.45167716  0.59272783  0.47424025  0.48831688  0.58051525  0.44525561
  0.61486809  0.52528294  0.33839449  0.43201221]
Progress: 67.1% ... Training loss: 0.619 ... Validation loss: 1.048[-0.3045831]
[ 0.54573916  0.60390617  0.45250023  0.44653859  0.60450939  0.48052969
  0.53699921  0.38889032  0.51434762  0.28028459]
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[-1.1504303]
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[ 0.90427453]
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[ 0.08921174]
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[ 0.13574286]
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[ 0.35946032]
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[ 0.15224052]
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[ 1.21314375]
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[ 0.72884102]
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[ 0.06556089]
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[ 0.99784893]
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[ 0.00550594]
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[ 0.77580432]
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[ 1.26707627]
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[ 0.5726338]
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[ 1.77403539]
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[ 1.95740479]
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[ 0.31739011]
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[ 0.17879143]
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[ 1.26890754]
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[ 1.28963317]
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[ 0.12096072]
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[ 0.41742281]
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[ 0.04551076]
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[ 0.09608321]
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[ 0.24263302]
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[ 0.35351883]
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[ 1.32442642]
[ 0.52518693  0.68515536  0.39553092  0.36381665  0.75454868  0.23340485
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[ 0.51738863]
[ 0.44832189  0.61013642  0.40709967  0.45153143  0.64143662  0.46602545
  0.50051119  0.56099979  0.43721832  0.46462321]
[ 0.11098313]
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  0.3977666   0.68682013  0.60449374  0.69568329]
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[ 0.61685965  0.71511092  0.36435005  0.50719129  0.44803198  0.50239416
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[-1.39353052]
[ 0.64287606  0.68960831  0.45411493  0.46268573  0.69816422  0.28299897
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[ 2.5317383]
[ 0.37968328  0.45477761  0.5625936   0.47837151  0.45342273  0.50512272
  0.55857178  0.51882269  0.38474695  0.46126362]
[ 1.92565899]
[ 0.68547237  0.82467175  0.38831403  0.29551306  0.75186584  0.21180346
  0.70982486  0.48650735  0.17335943  0.27743714]
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[ 0.37090915  0.67398868  0.49387116  0.43839916  0.49557777  0.53339802
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[ 0.58698482  0.64804974  0.40015065  0.31425824  0.78287082  0.29096481
  0.69005742  0.46826077  0.35852332  0.27744805]
Progress: 67.4% ... Training loss: 0.618 ... Validation loss: 1.058[ 0.96639233]
[ 0.62155732  0.69691724  0.46146115  0.33344801  0.73596915  0.31664168
  0.65158226  0.60239583  0.31120628  0.3673826 ]
[ 1.46881144]
[ 0.60595216  0.76774154  0.31853159  0.24589758  0.86225996  0.21723498
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[ 0.44949413  0.64515263  0.45779641  0.5624856   0.27863147  0.55940291
  0.51537763  0.75946926  0.63076831  0.6486042 ]
[ 0.54949118]
[ 0.526902    0.61558981  0.42211724  0.50247969  0.4413427   0.41224374
  0.51348051  0.54983479  0.5465461   0.58735861]
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[ 0.1293878]
[ 0.54953922  0.63673358  0.57884596  0.51710425  0.30562654  0.54489049
  0.54063825  0.72166854  0.49909897  0.4931155 ]
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[ 0.16063231]
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[ 0.83853111]
[ 0.36911861  0.67871938  0.58528595  0.44443454  0.5887339   0.53826625
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[ 0.13736026]
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[ 0.74786]
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[ 1.73017333]
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[ 1.19930556]
[ 0.5314429   0.64693499  0.47797711  0.37289371  0.65197961  0.42936148
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[ 0.18341191]
[ 0.57981139  0.66068271  0.49699894  0.44875001  0.63270385  0.49595558
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[ 1.40901152]
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[ 2.27956158]
[ 0.6301951   0.69533205  0.45236701  0.33509689  0.68108888  0.30622478
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[ 0.40488988]
[ 0.36422093  0.49204326  0.65566215  0.63058324  0.24369025  0.61169353
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[ 1.34308051]
[ 0.61147027  0.82090404  0.36580532  0.3541917   0.83344955  0.25946387
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[ 2.19792942]
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[ 0.68132129]
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[ 0.80930988]
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[ 0.1162291]
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[ 0.95776733]
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[ 1.34374581]
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[ 1.83349147]
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[ 0.38004623]
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[ 0.47283233]
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[ 0.39833985]
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[ 0.18383627]
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[ 0.67102242]
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[ 0.8528559]
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[ 0.53536212]
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[ 1.52707569]
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[ 0.81030308]
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[ 1.35124615]
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[ 0.26694238]
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[ 1.43590291]
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[ 0.21871607]
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[ 0.05770495]
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[ 1.22962818]
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[ 1.17404932]
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[ 0.50179904]
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[ 0.13962526]
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[ 0.00359939]
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[ 0.22284059]
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[ 2.58627945]
[ 0.62964572  0.70754903  0.44679718  0.3394225   0.66332436  0.31216436
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[-1.45480428]
[ 0.53424407  0.68761764  0.53103453  0.44640005  0.64893846  0.38078395
  0.59117803  0.58582887  0.31316774  0.30184839]
[ 0.206022]
[ 0.43317892  0.44818817  0.55878326  0.42810345  0.59171098  0.44095094
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[ 0.38130503  0.57916277  0.52182594  0.51763979  0.5191752   0.60960236
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[ 0.47279053]
[ 0.64697768  0.70269325  0.36594246  0.46046793  0.60344928  0.3342597
  0.63764363  0.52932827  0.27594053  0.50565507]
Progress: 67.7% ... Training loss: 0.618 ... Validation loss: 1.056[-0.69906326]
[ 0.55601578  0.57429704  0.38962598  0.53404958  0.65233185  0.34201225
  0.6360634   0.52358102  0.48260097  0.38537295]
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[ 0.195036]
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[ 1.08737319]
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[ 0.71563133]
[ 0.45888669  0.34310365  0.59334764  0.45172138  0.36830595  0.38037761
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[ 2.582711]
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[ 0.63909477]
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[ 0.3778451]
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[ 0.14426988]
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[ 0.01401841]
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[ 2.80869829]
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[ 1.58569434]
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  0.65514274  0.35086334  0.30466443  0.37739586]
[ 1.38991093]
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  0.50375721  0.53130312  0.54139712  0.29838937]
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[ 0.23726529]
[ 0.34951807  0.37731874  0.68291006  0.52521523  0.20606185  0.64045999
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[ 1.3935173]
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[ 0.46828235]
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[ 0.00834948]
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[ 0.15360118]
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[ 0.10293045]
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[ 0.09888601]
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[ 0.53143128]
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[ 0.41311051]
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[ 2.48791131]
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[ 1.9079792]
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[ 0.01062645]
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[ 0.46038901]
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[ 0.05719566]
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[ 1.70714768]
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[ 0.10910998]
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[ 1.59496285]
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[ 1.32492237]
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[ 0.9245654]
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[ 0.10411715]
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[ 0.01093457]
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[ 0.14088802]
[ 0.40932869  0.5712872   0.62964814  0.51354615  0.20843235  0.58373049
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[ 0.27722536  0.46574452  0.6808838   0.51553577  0.54275714  0.61456199
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[-0.05496648]
[ 0.53015022  0.68301454  0.27534129  0.50240281  0.66931524  0.41951007
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[ 0.32946255]
[ 0.36619727  0.55040558  0.56764872  0.48302123  0.35124795  0.511354
  0.53301582  0.69559121  0.61123227  0.54087593]
Progress: 68.0% ... Training loss: 0.617 ... Validation loss: 1.058[-0.09157866]
[ 0.74539862  0.7850382   0.31639273  0.44433851  0.66251015  0.3443381
  0.68613607  0.3965487   0.30176752  0.43818561]
[ 0.43441321]
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[ 0.15486358]
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[ 0.82704495]
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[ 0.48377281]
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[-1.26188947]
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[ 0.39974529]
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[ 0.03136046]
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[ 0.51269814]
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  0.57087627  0.58458469  0.55818784  0.4623814 ]
[ 0.73819878]
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[ 0.16426447]
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  0.576401    0.7441562   0.5700797   0.72092197]
[ 1.59891061]
[ 0.40645605  0.5005633   0.65468848  0.53368762  0.41107935  0.6307505
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[ 0.00475187]
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[ 1.16159852]
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  0.65172083  0.39844183  0.25656221  0.39693331]
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[ 0.84012071]
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[ 1.01527987]
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[ 0.30580004]
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[ 2.22228455]
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[ 0.15486358]
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[ 0.16534252]
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[ 0.94347553]
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[ 0.06949433]
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[ 0.12706579]
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[ 0.12188366]
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[ 0.12608206]
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[ 1.06213093]
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[ 0.70163973]
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[ 1.75334894]
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  0.61246804  0.4499704   0.35142028  0.36926899]
[ 0.87560631]
[ 0.47973573  0.65810076  0.42240869  0.45366258  0.60382289  0.32391238
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[ 0.61430851  0.75685851  0.35452752  0.27451894  0.76257912  0.22338305
  0.63029563  0.3369431   0.33138599  0.36805087]
[ 0.79952189]
[ 0.52807848  0.59336639  0.66536089  0.4479446   0.38875306  0.37850658
  0.58098552  0.69363337  0.34063194  0.48393467]
[ 0.50348128]
[ 0.59246484  0.5590744   0.34086297  0.53634273  0.58153032  0.37528928
  0.58293079  0.2922293   0.47628826  0.38570243]
[-0.51709673]
[ 0.58501799  0.67161073  0.37778168  0.39678201  0.73495074  0.37047717
  0.68449803  0.30022172  0.37026242  0.31529345]
[ 1.20093697]
[ 0.65226682  0.71183689  0.35954667  0.24188711  0.91694401  0.1717687
  0.76275302  0.36890875  0.27404908  0.26856697]
[-0.72419428]
[ 0.51154038  0.52382946  0.52436424  0.48040521  0.42775317  0.48042419
  0.45421271  0.45098925  0.55105731  0.55074305]
Progress: 68.3% ... Training loss: 0.617 ... Validation loss: 1.046[-0.38716127]
[ 0.57269765  0.52112883  0.58262638  0.45849306  0.64203741  0.59458033
  0.51945692  0.4247265   0.53285632  0.47193006]
[ 0.3321801]
[ 0.47090086  0.63216914  0.56171031  0.34304494  0.55365161  0.35471709
  0.68072713  0.47732     0.39258361  0.46238924]
[-0.05306969]
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  0.49672093  0.67412152  0.57078489  0.42878359]
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[ 2.94197011]
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[ 0.21790722]
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[ 0.38257548]
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[ 0.27326669]
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[ 1.42350195]
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[ 0.18849043]
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[ 1.98794881]
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[ 0.41256662  0.60646784  0.57640622  0.48184331  0.50463847  0.44086243
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[ 1.92927925]
[ 0.50271508  0.68813171  0.35725689  0.42515086  0.59172588  0.38367755
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[ 0.48830208  0.60253078  0.53388223  0.59711685  0.24181352  0.58328674
  0.51982523  0.75923388  0.66753163  0.55666953]
Progress: 68.6% ... Training loss: 0.616 ... Validation loss: 1.058[-0.80388358]
[ 0.48058187  0.59125873  0.61170083  0.48703575  0.5672164   0.46316434
  0.4962298   0.43283052  0.40687581  0.4297409 ]
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[ 0.44549505]
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[ 1.73283069]
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[ 0.26738985]
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[ 0.16945781]
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[ 0.16886292]
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[ 1.58582268]
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[ 0.77090326]
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[ 0.56083516]
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[ 0.36094971]
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[ 0.01686263]
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[ 0.66341526]
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[ 0.50931522]
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[ 0.3355068]
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[ 0.99925013]
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[ 0.10860983]
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[ 1.07110201]
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[ 0.61823403]
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[ 0.27750314]
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[ 0.71019936]
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[ 0.8791971]
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[ 1.38464003]
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[ 0.53498823]
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[ 0.01994538]
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[ 0.50196164]
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[ 0.42683713]
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[ 0.57819969]
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[ 0.3673236]
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[ 0.4342904]
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[ 0.4870902]
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[ 1.84706572]
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[ 0.07967593]
[ 0.41581748  0.69236928  0.44006543  0.45245742  0.47430568  0.5254097
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[ 1.18211738]
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[ 1.70306267]
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[ 1.38954877]
[ 0.55191715  0.69422136  0.43540831  0.30563861  0.70740516  0.4637137
  0.5037585   0.3507417   0.34642434  0.42252227]
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[-0.60401513]
[ 0.65418282  0.63808344  0.32129996  0.4463781   0.74357859  0.25332797
  0.62108007  0.37166701  0.40460265  0.42633601]
[ 1.45438587]
[ 0.63899607  0.71988702  0.37584379  0.32954139  0.783222    0.37529027
  0.61347174  0.36035822  0.35152223  0.25223208]
[ 0.00024554]
[ 0.37860523  0.26059177  0.70478991  0.5629681   0.24189775  0.53435093
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[ 0.49631193]
[ 0.56888502  0.619115    0.45748744  0.46205613  0.37271836  0.46165325
  0.61938929  0.68748242  0.45983296  0.6065464 ]
Progress: 68.9% ... Training loss: 0.616 ... Validation loss: 1.057[ 1.79764964]
[ 0.41592119  0.61195668  0.50620304  0.40438555  0.66501468  0.35119767
  0.63804717  0.54042062  0.33308112  0.3306935 ]
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[ 0.68412726]
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[ 0.68903824]
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[ 1.49206009]
[ 0.70373021  0.81089279  0.25858795  0.22561811  0.93177047  0.14530647
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[ 1.27632313]
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[ 0.42464271]
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[ 1.00577539]
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[ 1.4623595]
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[ 0.20305845]
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[ 0.43389099]
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[ 0.85945745]
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[ 0.36825026]
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[ 0.91944627]
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[ 0.67444265]
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[ 1.32428462]
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[ 0.08136125]
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[ 0.3806]
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[ 1.0117316]
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[ 2.60408616]
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[ 0.97508521]
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[ 0.14972891]
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[ 0.54547583]
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[ 0.35528774]
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[ 1.84554075]
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[ 0.74225232]
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[ 0.12638235]
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[ 1.03404372]
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[ 0.7605146]
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[ 0.23661117]
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[ 0.62269275]
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[ 0.6647919   0.57054847  0.4552521   0.44525301  0.52215228  0.34699563
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[-0.14599574]
[ 0.45798966  0.41630175  0.53126349  0.45969077  0.51015944  0.46226557
  0.53698138  0.56436303  0.53745014  0.58605334]
[ 1.29261377]
[ 0.49660335  0.50696949  0.56418933  0.49827739  0.43146902  0.37551414
  0.48255433  0.46796364  0.43134368  0.58312974]
[ 0.39721308]
[ 0.27518023  0.216318    0.71642264  0.70465225  0.17000547  0.62173919
  0.46809913  0.73102879  0.69845711  0.69779538]
Progress: 69.1% ... Training loss: 0.615 ... Validation loss: 1.058[ 0.17333047]
[ 0.33347     0.33123437  0.6967514   0.73992652  0.17194468  0.664401
  0.43607346  0.73967168  0.67521846  0.63779592]
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  0.49247616  0.49459815  0.38435213  0.3541981 ]
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[ 0.06164316]
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[ 0.16467246]
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[ 0.36639519]
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[ 0.55429063]
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[ 0.68400745]
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[ 0.05669536]
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[ 0.65302219]
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[ 0.22617766]
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[ 0.24332949]
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[ 1.02762424]
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  0.6742339   0.50188684  0.39378879  0.4999358 ]
[ 2.14244095]
[ 0.31856761  0.4052807   0.64850032  0.55331802  0.29180713  0.54514152
  0.58877567  0.69114495  0.56225439  0.40938285]
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[ 0.41761051]
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[ 2.50488977]
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[ 0.57640464]
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[ 0.33671389]
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[ 0.1685197]
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[ 0.13985716]
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[ 3.21773367]
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[ 0.42529167]
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[ 1.84024402]
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[ 3.06392632]
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[ 0.94258438]
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[ 0.40137986]
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[ 0.88509255]
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[ 0.22957959]
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[ 0.99714266]
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[ 1.17537462]
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[ 0.28378212]
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[ 1.12346978]
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[ 0.99320549]
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[ 0.3234281]
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[ 0.03373026]
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[ 2.54322263]
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[ 0.46838361  0.62267398  0.38834641  0.56962844  0.32663091  0.59237046
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[ 0.37464549  0.63035348  0.60789994  0.41488354  0.35073249  0.56701651
  0.42396084  0.57650168  0.49722913  0.54791363]
[ 0.07583428]
[ 0.5337647   0.512409    0.49208602  0.57653101  0.251042    0.58164439
  0.57028877  0.58876685  0.58123863  0.65377004]
[ 1.97353942]
[ 0.65735077  0.74530732  0.28662858  0.28214762  0.89609143  0.21499283
  0.72249061  0.25271721  0.24816541  0.14787622]
[ 0.9220687]
[ 0.42820493  0.61302034  0.50740891  0.46057262  0.43364023  0.55903561
  0.390199    0.58322588  0.59399765  0.63214387]
[ 0.43994098]
[ 0.55329672  0.60324279  0.59800321  0.36322881  0.49640934  0.37628809
  0.54684155  0.39908472  0.32428325  0.56384537]
Progress: 69.4% ... Training loss: 0.617 ... Validation loss: 1.035[-0.58961064]
[ 0.59072117  0.7751194   0.35919436  0.53333503  0.5833632   0.47686255
  0.54774679  0.45281792  0.29370906  0.48453083]
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[ 0.37182837]
[ 0.72541322  0.70143849  0.37633316  0.4434465   0.61364943  0.45321126
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[ 0.29451024]
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  0.65892915  0.28968965  0.34527364  0.27630256]
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  0.73913387  0.51190258  0.31009363  0.44414161]
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  0.41583798  0.60376262  0.51810094  0.62363704]
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[ 0.35185762  0.32590509  0.66551021  0.49992568  0.31747128  0.64674656
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[ 0.05669663]
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[ 0.42071578  0.51027226  0.70404547  0.48365186  0.37365686  0.44168201
  0.63052209  0.54666161  0.39776116  0.50394832]
Progress: 69.7% ... Training loss: 0.615 ... Validation loss: 1.042[-0.12250034]
[ 0.39779052  0.39984736  0.577269    0.43140944  0.4859934   0.41779824
  0.4218161   0.45839554  0.50611394  0.52788369]
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[ 0.27423298]
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[ 0.10278217]
[ 0.39588808  0.62921993  0.66169903  0.46169119  0.29721561  0.58138508
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[ 1.45349381]
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[ 0.12032156]
[ 0.52769265  0.68756565  0.38696901  0.41724742  0.71475718  0.39040792
  0.5505176   0.54590809  0.43824317  0.42580743]
[ 2.09675176]
[ 0.7433615   0.87746085  0.27784273  0.35558928  0.81105016  0.21361739
  0.72453704  0.39416083  0.18051847  0.25907417]
[ 0.12156799]
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[ 0.23284929]
[ 0.48593641  0.70265397  0.48217963  0.31527945  0.61212291  0.44203773
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[ 1.43419012]
[ 0.56197121  0.55024137  0.57511269  0.50879607  0.42148686  0.45426336
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[ 0.43074124  0.6781452   0.52758855  0.49423192  0.56690142  0.50726231
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[ 0.1085517]
[ 0.33717219  0.4166173   0.71630428  0.60423831  0.23748414  0.66401004
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[ 0.68662623  0.74154404  0.247915    0.38379322  0.7162646   0.32777251
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[ 0.03079927]
[ 0.52991542  0.61295231  0.39919244  0.47255624  0.51789877  0.44544902
  0.5812804   0.50856677  0.50919888  0.60964191]
[ 0.01306332]
[ 0.31155439  0.35684229  0.6829292   0.46978471  0.22564364  0.51522542
  0.39631678  0.68833919  0.62491232  0.68414846]
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[ 0.51004616  0.7460279   0.48387891  0.35868544  0.68396273  0.24542564
  0.66820417  0.52415848  0.31612401  0.27741304]
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[ 0.32917419  0.53363211  0.61652222  0.54727086  0.42464736  0.68535533
  0.39692794  0.59542068  0.47944603  0.5402829 ]
[-0.03031937]
[ 0.36392552  0.34436903  0.68504548  0.60095023  0.22591565  0.60021448
  0.42854093  0.71145512  0.72978178  0.58071483]
[ 0.34909729]
[ 0.44478515  0.6314368   0.51341735  0.49025105  0.37297094  0.63252859
  0.39819647  0.5118861   0.41527484  0.67650588]
[-0.39356972]
[ 0.51132744  0.72170271  0.45662687  0.34995059  0.71042655  0.36208123
  0.69150538  0.43188329  0.31136775  0.44733934]
[ 2.36229032]
[ 0.47986105  0.59287054  0.45414947  0.36535676  0.69948248  0.41205817
  0.5805716   0.29900004  0.33499436  0.27824114]
Progress: 70.0% ... Training loss: 0.614 ... Validation loss: 1.053[ 0.37910037]
[ 0.49244382  0.50891135  0.50643088  0.42611551  0.57412952  0.43865161
  0.48688592  0.49302657  0.49845837  0.56047615]
[ 1.28035815]
[ 0.29264824  0.51792471  0.6082437   0.35979145  0.56676407  0.48564983
  0.48454101  0.5500212   0.5398151   0.50631324]
[-0.63356061]
[ 0.50922873  0.49080411  0.53967329  0.46335937  0.41297402  0.51448123
  0.41338176  0.48481536  0.52321848  0.52982431]
[ 0.45290099]
[ 0.38498406  0.40165966  0.62401952  0.49705389  0.36490446  0.60665829
  0.54527485  0.73770855  0.60823242  0.72063497]
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[ 0.3928193   0.56049541  0.43176629  0.51461171  0.39000342  0.52651433
  0.6158872   0.69739721  0.63952445  0.52271381]
[ 1.73593679]
[ 0.61968116  0.62175165  0.51627515  0.54502648  0.4980757   0.51155757
  0.54373046  0.37116403  0.31214145  0.39390776]
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[ 0.52699965  0.71269442  0.50169686  0.32528481  0.66718584  0.4190536
  0.67825453  0.58479232  0.49618136  0.4209378 ]
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[ 0.51067487  0.55255231  0.4831404   0.48678881  0.62163532  0.4276292
  0.56074439  0.33573746  0.45135572  0.28288157]
[ 1.99344038]
[ 0.6364465   0.85936179  0.31497307  0.28305831  0.76937544  0.23753847
  0.67891729  0.51804437  0.22194999  0.22724956]
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[ 0.30171648  0.50947441  0.68686991  0.55214615  0.30190308  0.65424617
  0.4195985   0.59947276  0.49326994  0.5436544 ]
[ 0.88763115]
[ 0.55823838  0.58236178  0.36380853  0.54493585  0.62354693  0.45903935
  0.56523943  0.32825489  0.43308027  0.42000829]
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[ 2.91386957]
[ 0.59924152  0.76182836  0.44243952  0.37025463  0.71622738  0.31485235
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[ 0.27204928]
[ 0.54672725  0.7744905   0.5051126   0.38225911  0.60299318  0.39671158
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  0.53534848  0.28753494  0.34063357  0.42016189]
[ 0.08268511]
[ 0.46424106  0.51952968  0.53118126  0.43949505  0.44129758  0.31013759
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[ 0.10746515]
[ 0.40503337  0.55469828  0.67090211  0.33557996  0.54885612  0.5941498
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[ 0.52496066]
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[ 0.39829614]
[ 0.5527764   0.81208825  0.39077771  0.40436589  0.79569298  0.50127473
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[ 0.11413628]
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[ 0.33007126]
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[ 1.65350576]
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[ 0.41496672]
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[ 0.3602768]
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[ 2.73407593]
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[ 0.01558546]
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[ 0.08456981]
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[ 1.02207868]
[ 0.36161251  0.35440694  0.52212199  0.47650588  0.4581894   0.52869496
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[ 0.04514553]
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[ 0.91732851]
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[ 3.09376344]
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[ 1.07854688]
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[ 1.72876312]
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[ 0.90536292]
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[ 2.53923359]
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[ 1.32372462]
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[ 0.1623744]
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[ 0.06664359]
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[ 0.2744098]
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[ 1.83115565]
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[ 0.80404285]
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[ 0.33483655]
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[ 1.14761518]
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[ 1.00630939]
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[ 0.48666193]
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[ 0.8646829]
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[ 2.53156763]
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[ 0.24292535]
[ 0.56258668  0.59070524  0.50618619  0.44842729  0.47012243  0.52318288
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[ 1.11268766]
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[ 0.59993305]
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[ 1.0792789]
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[ 0.29097158]
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[ 0.18819291]
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[ 0.29154517]
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[ 0.58141368]
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  0.59345309  0.33063857  0.43113755  0.30975471]
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[ 0.23791268]
[ 0.44412193  0.56883935  0.61935492  0.47683144  0.34249348  0.5374753
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[ 0.07339433]
[ 0.34819139  0.38275913  0.72677876  0.66312663  0.23698747  0.69773133
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[ 0.51620118]
[ 0.65904972  0.70583219  0.28750473  0.42506838  0.72230633  0.4905564
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[ 0.64801974  0.75558518  0.41789394  0.42498324  0.6765094   0.42956299
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[ 0.55055187  0.55408616  0.68839697  0.44375098  0.27308769  0.53303954
  0.41311152  0.48427607  0.41631665  0.57072733]
[ 0.17829246]
[ 0.47488343  0.49975124  0.42594653  0.47445303  0.59360741  0.27659754
  0.58651181  0.37360365  0.43480739  0.50771048]
[ 0.71590344]
[ 0.50115386  0.57252132  0.51226895  0.43293561  0.39113829  0.5522788
  0.45940553  0.53138248  0.45166221  0.6701093 ]
[-0.22433606]
[ 0.46023154  0.60373766  0.46513672  0.47005944  0.43691042  0.43070073
  0.57744249  0.76505038  0.60334953  0.53292624]
[ 0.68046236]
[ 0.44487034  0.61758058  0.55716927  0.34944241  0.61811685  0.40451678
  0.46680302  0.49063601  0.43871269  0.47986349]
[-0.51949003]
[ 0.52255415  0.76436769  0.38355317  0.34355835  0.67739873  0.35163583
  0.67710973  0.49141951  0.30247589  0.22900826]
[-0.24743692]
[ 0.44717893  0.58907688  0.50178068  0.40210041  0.47576726  0.29942499
  0.68327395  0.6067324   0.3508711   0.60749143]
Progress: 70.3% ... Training loss: 0.614 ... Validation loss: 1.038[-1.30724234]
[ 0.49476767  0.62324727  0.42883494  0.44314979  0.61276297  0.40316994
  0.62565619  0.42820237  0.37305621  0.39317488]
[-0.34927934]
[ 0.41240154  0.49904254  0.6155828   0.62258821  0.34294434  0.63062641
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[-0.27275046]
[ 0.46544895  0.64531245  0.4135399   0.46993109  0.49234985  0.44145956
  0.64167642  0.55894226  0.45051161  0.38252003]
[ 0.73518293]
[ 0.44911574  0.69441428  0.60680463  0.49829259  0.36776496  0.4468054
  0.51462475  0.68438951  0.33988002  0.51272492]
[ 2.65293466]
[ 0.41461897  0.63315997  0.36236497  0.37751399  0.77076672  0.31697012
  0.6381393   0.51721014  0.35924433  0.32788025]
[ 0.46718584]
[ 0.2631718   0.33742876  0.73047538  0.5495582   0.17075572  0.47321972
  0.59008263  0.54680771  0.50895568  0.6500476 ]
[ 1.56817338]
[ 0.56368304  0.72960142  0.39924558  0.365926    0.79126788  0.21588993
  0.64447906  0.423694    0.25986314  0.35611668]
[-0.36499665]
[ 0.45882314  0.48349795  0.49162737  0.56927826  0.4886345   0.50756304
  0.54435409  0.43894323  0.48747238  0.49720444]
[ 1.49373874]
[ 0.45415199  0.59922611  0.4598374   0.36450229  0.61912529  0.28352491
  0.5994008   0.33036124  0.25855047  0.49531299]
[ 0.20715236]
[ 0.31956686  0.42059688  0.60397235  0.56590683  0.44373481  0.60438337
  0.41302361  0.69109081  0.60835962  0.65933624]
[-0.18012658]
[ 0.49660442  0.69275902  0.49800198  0.37567292  0.42657449  0.46039292
  0.60558465  0.70863244  0.56155527  0.40430007]
[-0.75682415]
[ 0.45215338  0.59002487  0.58424419  0.6228292   0.48419785  0.51436961
  0.58177623  0.5264564   0.42206147  0.47798807]
[ 1.69830165]
[ 0.52410133  0.52766707  0.60927074  0.48976614  0.51009171  0.36237647
  0.48705903  0.61968084  0.43891143  0.42126693]
[-0.73006526]
[ 0.59162256  0.648895    0.52220667  0.49955894  0.49325424  0.53342733
  0.45966686  0.39650501  0.43092207  0.41137132]
[ 0.57522619]
[ 0.56187992  0.73282529  0.2845301   0.44960892  0.70388654  0.4156135
  0.55896395  0.50142641  0.44368291  0.45146586]
[-1.07016902]
[ 0.42056761  0.51986038  0.63122525  0.41782507  0.49284073  0.32949649
  0.56442632  0.54568925  0.3690775   0.3992312 ]
[-0.60767809]
[ 0.49688816  0.3517978   0.65148031  0.5031642   0.43969972  0.46720698
  0.54152149  0.50104182  0.51585615  0.52030422]
[ 0.83631086]
[ 0.43283639  0.53794965  0.67226487  0.48234137  0.23018479  0.56916593
  0.53149648  0.64208353  0.53612511  0.61943763]
[-0.8968052]
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  0.61544584  0.52861133  0.40192464  0.45211908]
[-0.05308851]
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  0.6421308   0.51965339  0.36702873  0.47362832]
[-0.82307797]
[ 0.71264079  0.77094639  0.27076681  0.43690254  0.79588335  0.39178912
  0.65438592  0.26090615  0.37954226  0.2303552 ]
[-0.96380077]
[ 0.50605167  0.59170422  0.43888217  0.37844532  0.72908356  0.29060151
  0.58751397  0.26745636  0.36719635  0.34739724]
[ 1.40156114]
[ 0.4090657   0.56212414  0.47525111  0.53084423  0.38855162  0.63809221
  0.46868738  0.67394548  0.53997237  0.49180825]
[ 1.9160136]
[ 0.37659299  0.74397083  0.54447577  0.34222403  0.64647176  0.41001773
  0.4551004   0.4210531   0.31589709  0.51333191]
[-0.89359615]
[ 0.61891609  0.73029922  0.40069248  0.40679668  0.70127381  0.27638331
  0.72858574  0.33209327  0.2841507   0.35227762]
[-0.09806823]
[ 0.36853167  0.5674022   0.7296584   0.50439343  0.23345745  0.69472523
  0.37524103  0.59643693  0.51476805  0.67474117]
[ 0.38178269]
[ 0.48691371  0.57317896  0.4252438   0.48349996  0.54066628  0.39440189
  0.57709639  0.39299279  0.46893536  0.45035872]
[ 0.15339614]
[ 0.33585577  0.57654927  0.45972964  0.40904388  0.44367031  0.562048
  0.62048586  0.57825196  0.51397594  0.46231753]
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  0.61616261  0.2471962   0.32279383  0.38656125]
[ 1.00159674]
[ 0.30828819  0.49882554  0.6353561   0.40904191  0.36900321  0.63684517
  0.3624715   0.56057862  0.60583511  0.67952577]
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[ 0.45911391  0.59613238  0.48960881  0.40968983  0.32898755  0.58813543
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[ 1.68741529]
[ 0.50178151  0.539366    0.56230144  0.37495447  0.66299103  0.43818835
  0.59048383  0.5138145   0.42304665  0.47990294]
[ 0.39123906]
[ 0.59521229  0.83316614  0.2503726   0.36521447  0.79561183  0.34070401
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[ 0.32906902]
[ 0.67212056  0.63422297  0.26911185  0.40952005  0.78616987  0.2669344
  0.628535    0.21054798  0.32452035  0.27299635]
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[ 0.36810257  0.27468934  0.63903358  0.49222234  0.2845693   0.47362258
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[-0.253288]
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[ 0.59715854]
[ 0.64527791  0.7814209   0.27251333  0.37751544  0.79956406  0.31164632
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[ 0.32203064]
[ 0.39047628  0.57603307  0.52469729  0.44334411  0.50918121  0.32326392
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[-0.25185532]
[ 0.30174438  0.50954699  0.68684719  0.55203236  0.30199956  0.65416728
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[ 0.3234045   0.45965674  0.72907644  0.36318339  0.48342626  0.30702204
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[-0.44380281]
[ 0.47333731  0.50922965  0.60577147  0.55583958  0.30373959  0.59809658
  0.48925192  0.70788944  0.53959025  0.60325483]
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[ 0.80331926]
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[ 1.11470569]
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[ 0.2625835]
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[ 0.41436389]
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[ 2.39901516]
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[ 0.0965366]
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[ 0.06533204]
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[ 3.33853511]
[ 0.50015925  0.63579828  0.48884505  0.43458722  0.50454957  0.40417532
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  0.58930291  0.5592035   0.50776395  0.45233364]
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[ 0.36122105  0.57633214  0.49472715  0.57894208  0.54931433  0.6703123
  0.56345676  0.65251534  0.43361279  0.4963624 ]
[ 1.25605382]
[ 0.52756492  0.73590728  0.36046333  0.40874415  0.62417481  0.40086529
  0.61973371  0.50758766  0.36172239  0.41006792]
[ 1.0456566]
[ 0.41718509  0.48729835  0.5180516   0.57179939  0.43130213  0.56069085
  0.44714146  0.61819991  0.65103528  0.56026805]
[-0.15967607]
[ 0.28170381  0.26679216  0.69942986  0.53996516  0.2148949   0.41999228
  0.56649787  0.63040454  0.57679465  0.64527748]
[ 0.80331926]
[ 0.62176975  0.34298714  0.6651535   0.46010854  0.38282232  0.40430465
  0.51178444  0.4629928   0.46675786  0.50849164]
Progress: 70.6% ... Training loss: 0.615 ... Validation loss: 1.029[ 0.73389274]
[ 0.56021948  0.75630073  0.44291996  0.46801613  0.53087818  0.35989656
  0.6845161   0.62304297  0.25495457  0.37908555]
[ 0.14306572]
[ 0.38497153  0.41402603  0.62121979  0.46823358  0.3699794   0.47871213
  0.5075262   0.36703699  0.50304827  0.60450956]
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[ 0.60505271  0.6753577   0.55052936  0.373188    0.47710244  0.32890602
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[ 2.0177276]
[ 0.25094162  0.32275322  0.65127294  0.5837293   0.30965491  0.7360231
  0.40001317  0.66863848  0.61506714  0.61638994]
[ 0.12876695]
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[ 0.83750943]
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[ 0.83911808]
[ 0.44750361  0.56302365  0.45638181  0.39281162  0.61564584  0.29564245
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  0.46803753  0.46271798  0.41166639  0.63765751]
[ 1.20616349]
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  0.71620905  0.58236681  0.24481366  0.45802029]
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[ 0.76278007]
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[ 0.46652672  0.51985593  0.61797308  0.35285937  0.50383109  0.34398971
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[ 0.47278247  0.64901024  0.59205553  0.34826728  0.54442694  0.43007927
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[ 0.7193488   0.6721419   0.31965827  0.43143123  0.70340074  0.27909728
  0.56629813  0.43028668  0.45984718  0.30963715]
Progress: 70.9% ... Training loss: 0.614 ... Validation loss: 1.032[-0.44469673]
[ 0.64843439  0.81786122  0.39330447  0.30943474  0.7200259   0.29785992
  0.62854329  0.32760302  0.19862478  0.43672551]
[ 0.32475946]
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[-1.37462242]
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[ 2.6235455]
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[ 1.3809829]
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[ 0.13718343]
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[ 0.91834277]
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[ 0.39238983]
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[ 0.03946181]
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[ 0.11346525]
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[ 0.47953874]
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[ 0.06857534]
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[ 0.49631729]
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[ 3.03961682]
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[ 1.06844713]
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[ 0.68987647]
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[ 0.11643807]
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[ 0.13856377]
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[ 2.67776665]
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[ 1.14297882]
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[ 0.40632561]
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[ 0.05833307]
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[ 0.54616608]
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[ 0.9498581]
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[ 0.13158837]
[ 0.42017966  0.47862142  0.63721478  0.40368612  0.38983736  0.51629711
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[ 0.15699527]
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[ 0.05528871]
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[ 0.23871976]
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[-0.46311918]
[ 0.43503212  0.462823    0.55371762  0.50485387  0.34171592  0.61564335
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[-0.70251505]
[ 0.63505215  0.75435777  0.30942726  0.33771416  0.76314474  0.26101775
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[ 1.23495107]
[ 0.60159292  0.77724719  0.42213811  0.35836535  0.83311828  0.25607507
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[ 0.46789624  0.66562127  0.43181327  0.49695948  0.55574706  0.5018943
  0.51128295  0.63675832  0.46828735  0.49033302]
Progress: 71.1% ... Training loss: 0.612 ... Validation loss: 1.041[-1.10025183]
[ 0.4578736   0.69404571  0.54873744  0.48622731  0.50233913  0.47690115
  0.5992585   0.61182467  0.36626792  0.43594425]
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[ 0.04503207]
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[ 0.34731537]
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[ 0.26014232]
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[ 0.35852511]
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[ 1.5854182]
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[ 0.06928228]
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[ 1.76498121]
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[ 0.14247888]
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[ 0.06684154]
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[ 0.05496633]
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[ 0.85509675]
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[ 1.81854942]
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[ 1.5456037]
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[ 0.04765706]
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[ 2.34204434]
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[ 0.02803634]
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[ 2.49200188]
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[ 1.27343027]
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[ 1.1956525]
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[ 0.46028097]
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[ 0.55830354]
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[ 0.08238669]
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[ 1.20892105]
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[ 0.05598935]
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[ 0.91322865]
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[ 0.07409539]
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[ 0.04671906]
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[ 1.58240238]
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[ 0.37555467]
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[ 0.13575147]
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[ 0.14685739]
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[ 0.18685873]
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[ 0.61199854]
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[ 0.2063327]
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[ 1.64451679]
[ 0.49878044  0.80889968  0.32685745  0.3530677   0.74407398  0.34989862
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[ 0.32066021  0.44311091  0.64862944  0.45290146  0.55961949  0.46190902
  0.50673799  0.52206992  0.45882697  0.51235092]
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[ 0.62535123  0.71886043  0.33535925  0.32944858  0.83750065  0.26721984
  0.71626109  0.2412246   0.28095894  0.33555704]
[ 0.35508595]
[ 0.33878298  0.34461483  0.78630319  0.61282467  0.09723432  0.76423834
  0.41105685  0.73046833  0.70614824  0.71980968]
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[ 0.46260075  0.56536779  0.44822256  0.45780982  0.70012051  0.35571219
  0.6463978   0.31007084  0.35329455  0.33993725]
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[ 0.51852899  0.75933541  0.33258178  0.38244372  0.73553758  0.36519758
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[ 0.70567636  0.73520261  0.28085686  0.35369823  0.79489997  0.39849276
  0.62875002  0.33403068  0.35563863  0.32612   ]
Progress: 71.4% ... Training loss: 0.612 ... Validation loss: 1.046[ 0.31772532]
[ 0.53274072  0.69064814  0.52958339  0.44367969  0.33011371  0.59103353
  0.4174863   0.4774786   0.46565936  0.70527596]
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[ 0.31030322]
[ 0.39483157  0.56654967  0.50321467  0.42982496  0.46993574  0.57443315
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[ 0.20380855]
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[ 0.05712819]
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  0.42303713  0.49467615  0.60255776  0.45876821]
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[ 0.01189619]
[ 0.23444153  0.33705702  0.71282567  0.55144131  0.25695718  0.659467
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[ 0.43818793  0.49179797  0.5580203   0.48089281  0.58447451  0.39047891
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[ 2.07239674]
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[ 0.34176107]
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  0.49954738  0.34548978  0.46731122  0.40792235]
[ 0.62079783]
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[ 2.30959877]
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[ 0.58243986]
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[ 0.03631769]
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[ 0.26528583]
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[ 0.1775661]
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[ 1.90879188]
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[ 1.02845333]
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[ 0.96159401]
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[ 1.4047667]
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[ 0.7474897]
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[ 0.22182374]
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[ 0.8129713]
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[ 0.23430643]
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[ 0.48551004]
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[ 0.26044751]
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[ 0.08832428]
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[ 0.31223419]
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[ 1.60135238]
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[ 0.68375384]
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[ 0.20589522]
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[ 0.55371872]
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[ 0.29655452  0.36045224  0.6579449   0.53258691  0.31930087  0.57127672
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[ 1.8372243]
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[ 0.43495286  0.67650383  0.579551    0.24868172  0.3904007   0.38348346
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[ 0.76100677]
[ 0.46296003  0.614255    0.54873101  0.42963463  0.4840715   0.44264384
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[ 0.38040801  0.45335693  0.51675241  0.63697584  0.30220853  0.48912044
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[ 0.35576798  0.27348358  0.75556993  0.40289424  0.27201972  0.57546396
  0.52602706  0.54374483  0.58176946  0.718611  ]
Progress: 71.7% ... Training loss: 0.612 ... Validation loss: 1.054[-0.16132683]
[ 0.50905817  0.65793289  0.35089544  0.46192941  0.57901211  0.57605497
  0.48553784  0.51014889  0.46883146  0.48465621]
[ 0.01885887]
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[ 0.17708371]
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[ 0.10812186]
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[ 0.41595059]
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[ 3.14753849]
[ 0.49319569  0.62723259  0.52568109  0.36417401  0.55835674  0.47642996
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[ 0.05017053]
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[ 0.65174781]
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[ 0.82337656]
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[ 0.29078413]
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[ 0.28430734]
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[ 0.19785367]
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[ 1.09679548]
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[ 0.48584663]
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[ 0.48109926]
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[ 0.34952253]
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[ 0.08681942]
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[ 0.20313576]
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[ 3.03039872]
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[ 0.15595002]
[ 0.67174631  0.73361219  0.25211215  0.30004783  0.8747604   0.14907184
  0.70050209  0.22771087  0.26805859  0.25989284]
[-0.55845058]
[ 0.71831992  0.66959584  0.32045684  0.43348463  0.70052728  0.2804548
  0.56533349  0.43112573  0.46273991  0.31098466]
[-0.25284221]
[ 0.80783307  0.83898333  0.24095138  0.42298121  0.80314521  0.26080473
  0.73405942  0.34828521  0.32409269  0.3239249 ]
[ 1.03165829]
[ 0.56838608  0.66691786  0.3736212   0.57970757  0.53424315  0.4966987
  0.59263009  0.34995082  0.37078161  0.32604382]
Progress: 72.0% ... Training loss: 0.611 ... Validation loss: 1.053[ 0.27520378]
[ 0.33737567  0.37531278  0.68663592  0.44984425  0.32450701  0.58820888
  0.5061734   0.70490638  0.5814823   0.59288531]
[ 0.61840631]
[ 0.46341183  0.57927764  0.54244706  0.46897175  0.60470816  0.53936963
  0.4872533   0.58743164  0.42962825  0.46641691]
[ 0.79558551]
[ 0.49630452  0.53482728  0.55214132  0.37059711  0.54744794  0.49973968
  0.41730472  0.46084281  0.50551735  0.51585891]
[ 0.08036214]
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  0.59178097  0.69153927  0.55605198  0.71305219]
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[ 0.03176643]
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[ 0.33435523]
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[ 1.04602068]
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[ 1.68218432]
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[ 1.50206344]
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[ 1.57843554]
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[ 0.59441765  0.64796288  0.36707677  0.60428973  0.51847328  0.50916311
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[ 0.47674656  0.63358463  0.48627686  0.32191133  0.51796119  0.28283099
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[ 0.63977982  0.80136832  0.2525243   0.3176485   0.74572311  0.28248771
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[ 0.36551344  0.53028784  0.47879708  0.57335307  0.38866492  0.51565975
  0.57218454  0.65444931  0.48213814  0.52708906]
Progress: 72.3% ... Training loss: 0.611 ... Validation loss: 1.052[-0.43150978]
[ 0.32776357  0.42299849  0.56590303  0.55922552  0.37163959  0.58667997
  0.58036614  0.70185622  0.51565075  0.55013292]
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[ 0.81625121]
[ 0.55509457  0.63895281  0.48428679  0.541413    0.39454003  0.51651449
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[ 1.14637664]
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[ 0.04373149]
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[ 0.03727248]
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[ 1.54973847]
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[ 0.18526707]
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[ 0.33379861]
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[ 2.46489105]
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[ 2.01726679]
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[ 0.07028349]
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[ 0.1391201]
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[ 0.63811141]
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[ 0.57814708]
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[ 0.12681314]
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[ 0.27146979]
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[ 1.13207357]
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[ 1.1163461]
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[ 0.38554885]
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[ 0.06463523]
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[ 0.03350054]
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[ 2.02839274]
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[ 0.31663312]
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[ 0.1280066]
[ 0.28888266  0.26705797  0.79507411  0.62309367  0.17263283  0.69285799
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[ 3.28756454]
[ 0.55792513  0.72682559  0.60246757  0.39080403  0.46818752  0.51077041
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[ 1.5144661]
[ 0.52599774  0.61101219  0.61160501  0.50727777  0.41767124  0.57294726
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[ 0.55245293]
[ 0.45079399  0.57593297  0.6221552   0.37152647  0.68150443  0.38794967
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[ 1.76964597]
[ 0.46015945  0.4983574   0.58233162  0.41506135  0.49273723  0.33005255
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[ 0.05753466]
[ 0.42247192  0.53932229  0.5686176   0.4310092   0.42548817  0.54454229
  0.61969658  0.61536801  0.59219141  0.5572483 ]
[ 0.71366035]
[ 0.53556366  0.58278826  0.62378011  0.37385761  0.45724136  0.39788446
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[ 1.24433595]
[ 0.47715834  0.73815798  0.31437307  0.3931558   0.65997117  0.47926001
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[ 0.29568376  0.3251285   0.69392393  0.52333969  0.37803021  0.62346586
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[ 1.89617167]
[ 0.54659606  0.74982475  0.36782777  0.3675125   0.62078808  0.34247108
  0.716982    0.53494323  0.2936921   0.42082407]
[ 0.50314429]
[ 0.48160276  0.54847404  0.63596538  0.48352797  0.31707138  0.54326656
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[ 2.93581507]
[ 0.53091646  0.47479115  0.60063846  0.38605413  0.64421008  0.35491753
  0.59341413  0.53666659  0.42400922  0.31823105]
[ 1.39336263]
[ 0.39733984  0.5445571   0.50679159  0.39365056  0.58947395  0.52331148
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[ 0.59071337  0.68477814  0.36504798  0.49129951  0.61435495  0.38831285
  0.6454223   0.47859955  0.49008179  0.3354186 ]
[ 0.18480723]
[ 0.55959793  0.74330836  0.21635006  0.44337106  0.67741886  0.37235787
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[ 0.61360983]
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[ 0.32812793]
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[ 0.40726943]
[ 0.65081735  0.76981375  0.33958306  0.37171428  0.81850704  0.3434549
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[ 0.26355116]
[ 0.67784756  0.85806452  0.28904778  0.30717843  0.805207    0.27683202
  0.74316389  0.47497761  0.26771149  0.37340952]
[-0.43763552]
[ 0.56410705  0.82401025  0.3449016   0.40424779  0.61261504  0.45176631
  0.64750871  0.467158    0.25520943  0.48324411]
[-0.07311752]
[ 0.57470451  0.79319172  0.31594213  0.36496536  0.75326195  0.31196527
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[ 0.05023325]
[ 0.40748246  0.49800372  0.57612868  0.53751257  0.24572296  0.60237627
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[-0.64975363]
[ 0.54228415  0.69938614  0.38688186  0.33580851  0.66650814  0.30992044
  0.66230092  0.48637948  0.49268286  0.33758457]
[-0.36943286]
[ 0.59315539  0.75842462  0.36891109  0.51708336  0.38648071  0.55595719
  0.59448538  0.59499196  0.37786618  0.63231015]
[ 1.85408605]
[ 0.47137579  0.5856398   0.5120608   0.35240312  0.5572264   0.44915182
  0.42573559  0.50504011  0.48452131  0.49117481]
[ 0.54294602]
[ 0.73307046  0.7977704   0.33522188  0.37552421  0.81488707  0.28573556
  0.7252884   0.25401086  0.24676999  0.22522796]
Progress: 72.6% ... Training loss: 0.610 ... Validation loss: 1.038[-0.69986783]
[ 0.67492684  0.45459159  0.57585577  0.5606673   0.3802783   0.42748893
  0.5096965   0.56836996  0.52624989  0.48099762]
[ 0.39826885]
[ 0.64879162  0.7646052   0.25049126  0.41887548  0.77317451  0.33123921
  0.61408948  0.4735647   0.36263946  0.36719972]
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  0.46298086  0.40031325  0.35967597  0.44451049]
[ 0.07860938]
[ 0.6007944   0.68903923  0.43599326  0.47372996  0.49074809  0.51109376
  0.52802458  0.50171594  0.41198458  0.55707775]
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[ 0.34450274  0.5303289   0.52398756  0.56235259  0.31070853  0.48927654
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  0.55273359  0.55616807  0.51377573  0.44707167]
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[-1.38281142]
[ 0.52399843  0.73262244  0.46348543  0.45366593  0.67387139  0.40432849
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[ 0.47214987  0.53006921  0.82796034  0.35127782  0.28781258  0.44970593
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[-0.41639316]
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[-0.23362337]
[ 0.69257999  0.71777978  0.21530512  0.44583831  0.86008353  0.22515539
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[ 0.05823893]
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[ 0.24156531]
[ 0.40084377  0.66694805  0.70244863  0.38125778  0.52748783  0.53976309
  0.44818392  0.43456085  0.32110927  0.53571777]
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  0.61245723  0.51586482  0.35156889  0.44489051]
[-0.97649664]
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[ 0.77144522]
[ 0.44213719  0.64614679  0.42878368  0.37039523  0.65166751  0.45101063
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[ 0.0987853]
[ 0.4598121   0.58254397  0.5165581   0.51412173  0.41623358  0.54696587
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[-0.19624035]
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[-0.51688141]
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[-0.21624926]
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[-0.24880281]
[ 0.40516624  0.46407553  0.6122968   0.60972195  0.3933631   0.54936598
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[ 0.50161075  0.45196502  0.55247745  0.4980854   0.55532836  0.42153743
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[-1.31714832]
[ 0.54479275  0.64073862  0.34867113  0.47896769  0.77842816  0.2968243
  0.63333797  0.31362187  0.35133265  0.30574859]
[-0.34361461]
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[ 0.02053565]
[ 0.28074362  0.42401852  0.6993246   0.66990675  0.2903003   0.72347057
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[ 0.65155213]
[ 0.62415041  0.80071828  0.31769167  0.3110567   0.83292955  0.35482218
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[-0.21627265]
[ 0.47478966  0.4846526   0.49053426  0.52209187  0.45194634  0.52187169
  0.47581744  0.42643571  0.48926112  0.57210618]
[ 2.96583325]
[ 0.25859136  0.51143066  0.69289824  0.41171805  0.42903914  0.61777446
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[-0.53011481]
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[-0.3115431]
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[ 0.07580377]
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[-0.69380097]
[ 0.51386119  0.73209926  0.53080485  0.4334132   0.42649849  0.4034245
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[ 0.30649478]
[ 0.68923021  0.77122966  0.39527498  0.37058643  0.72098749  0.29015688
  0.70380314  0.37648493  0.25656415  0.37067071]
[ 1.52473106]
[ 0.50181593  0.64174565  0.65497548  0.44394576  0.3639152   0.58713174
  0.38136155  0.60188422  0.45020141  0.57931118]
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  0.51598927  0.39461588  0.50405041  0.47663867]
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[ 0.57111987  0.67379424  0.71489024  0.29845634  0.45759847  0.33992352
  0.51745443  0.44926902  0.28649035  0.42368693]
[ 0.96312757]
[ 0.36796405  0.63993399  0.57917635  0.43176902  0.58690184  0.46556085
  0.53233937  0.58298667  0.38755912  0.5301599 ]
[ 2.66580234]
[ 0.3017861   0.44854911  0.66314973  0.52976582  0.36553285  0.60961323
  0.51250722  0.57052551  0.48344404  0.49347621]
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[ 0.60457804  0.6351624   0.58976893  0.35258706  0.61823253  0.37916097
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[ 1.50143675]
[ 0.27433933  0.35438812  0.69607695  0.50568453  0.33348797  0.68923104
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[ 0.50844072  0.72844191  0.35778417  0.28440309  0.69477167  0.32911981
  0.65978382  0.34874815  0.34263304  0.34319972]
[ 2.36979353]
[ 0.50207336  0.58616044  0.48750011  0.40216754  0.67766259  0.41381085
  0.67721202  0.3599998   0.34324044  0.31024755]
[-0.343404]
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[ 0.46270591]
[ 0.60285336  0.72238021  0.40980315  0.40416505  0.7444163   0.40477281
  0.62715005  0.28979572  0.37606722  0.23418908]
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[ 0.42509904  0.57425215  0.4127767   0.50172399  0.57690768  0.4482798
  0.52907528  0.62792403  0.4820732   0.49337882]
[ 3.24597597]
[ 0.553151    0.71197714  0.53471772  0.23522886  0.72417151  0.33730285
  0.5705299   0.44589299  0.24383281  0.47415335]
[ 1.58281821]
[ 0.52244414  0.80700228  0.29433993  0.37665107  0.83453333  0.29773241
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[ 0.26060019]
[ 0.58310881  0.55950176  0.41161561  0.50092858  0.59051166  0.43625713
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[ 0.28970579]
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[ 0.05692781]
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[ 0.85782707]
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[ 0.02316051]
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[ 1.48034172]
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[ 0.90758177]
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[ 0.46294552]
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[ 0.22355965]
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[ 0.00245039]
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[ 1.40530968]
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[ 0.97621193]
[ 0.46712856  0.57186893  0.47414017  0.44285693  0.57528979  0.50840895
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[ 0.41276068  0.62699768  0.55329639  0.52505196  0.56144394  0.46249081
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[ 0.68372611  0.84688547  0.34119792  0.29899217  0.85172233  0.26100102
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[ 0.50812623  0.5908071   0.53855189  0.30485795  0.59627413  0.36946459
  0.51293617  0.35080487  0.395394    0.38880184]
Progress: 72.9% ... Training loss: 0.610 ... Validation loss: 1.036[-0.86429588]
[ 0.48839823  0.52507657  0.4592966   0.43525188  0.66502516  0.27049434
  0.63513269  0.49092233  0.37503149  0.40256753]
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[ 0.42334929]
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[ 1.19485964]
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[ 0.82317279]
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[-1.04684533]
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[ 0.20895645]
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[ 0.08694842]
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[ 0.18676363]
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[ 0.59673745]
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[ 1.27670342]
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[ 0.3674473]
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[ 1.8664519]
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[ 0.24209303]
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[ 0.10311427]
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[ 0.8370618]
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[ 0.69426605]
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[ 0.82163888]
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[ 1.7213806]
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[ 1.91614381]
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[ 0.39636689]
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[ 0.73871738]
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[ 0.61358904  0.62195967  0.59603188  0.44666054  0.48724007  0.36817831
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[ 0.70549756]
[ 0.50224868  0.50157105  0.59820304  0.47249506  0.42353369  0.44016011
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[-0.79027209]
[ 0.54995051  0.38792291  0.48031048  0.51186425  0.51472587  0.40288335
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[ 0.29214486  0.45295537  0.67747224  0.49421266  0.41312516  0.52640441
  0.46855106  0.60939652  0.50568688  0.57839837]
Progress: 73.1% ... Training loss: 0.609 ... Validation loss: 1.042[ 1.0867431]
[ 0.36887206  0.45499388  0.78722959  0.43385293  0.17388393  0.61138199
  0.42781274  0.63087756  0.60884949  0.69782092]
[ 0.14599879]
[ 0.3607523   0.64932561  0.52029109  0.47355381  0.46591916  0.54758982
  0.68395045  0.61143481  0.49169808  0.39581751]
[ 1.56453645]
[ 0.66257628  0.68486468  0.3195298   0.3583856   0.76518181  0.2677543
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[ 0.02345265]
[ 0.33213985  0.50991932  0.6036173   0.50160034  0.39132137  0.69313862
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[ 0.1757027]
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[ 0.31706168]
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[ 1.44343582]
[ 0.3989373   0.59180494  0.46919963  0.39233269  0.63953385  0.41150301
  0.59143723  0.31868079  0.40859703  0.39595798]
[ 0.58363525]
[ 0.27045428  0.31414547  0.78538781  0.48142822  0.21686499  0.52627499
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[ 0.55700993  0.67959514  0.48127921  0.52400685  0.46182431  0.51897242
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[ 0.0794454]
[ 0.4081341   0.41921966  0.6503107   0.46535849  0.20357115  0.55728252
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[-0.17227827]
[ 0.72751135  0.70372286  0.40781794  0.38618288  0.67855318  0.21098614
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[-0.32287439]
[ 0.59173894  0.7393578   0.30557419  0.41795256  0.61452566  0.45254133
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[ 0.02431849]
[ 0.47099627  0.77930338  0.3590968   0.46097583  0.69322892  0.32785616
  0.69693572  0.30354246  0.24257463  0.4233112 ]
[ 1.23991224]
[ 0.44418882  0.58225217  0.60496325  0.52319763  0.42380077  0.59857132
  0.45713028  0.64135734  0.42361484  0.56004477]
[-0.98083701]
[ 0.65496249  0.6925546   0.35732328  0.34337502  0.76582526  0.32722484
  0.62655488  0.26031457  0.39025947  0.44647777]
[-0.39503862]
[ 0.67363579  0.74974625  0.22960771  0.43093207  0.84269092  0.28955027
  0.64235219  0.20529194  0.24995451  0.29492506]
[-0.72592257]
[ 0.69140279  0.7386786   0.27694127  0.39023242  0.76777245  0.44250734
  0.63117681  0.35138552  0.38257643  0.37413637]
[-0.67806974]
[ 0.41206273  0.57297814  0.48931258  0.47932553  0.45564684  0.53326002
  0.4409496   0.53608139  0.51528496  0.57518558]
Progress: 73.4% ... Training loss: 0.609 ... Validation loss: 1.033[-0.29274382]
[ 0.62749202  0.71888526  0.37368346  0.5355629   0.58853957  0.52965631
  0.49597873  0.41955678  0.40209127  0.41492913]
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[-0.0402797]
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  0.49970371  0.68213837  0.61281511  0.56043307]
[-0.47350121]
[ 0.42121792  0.64586     0.43812764  0.45991406  0.568936    0.54804391
  0.58654487  0.55859822  0.49651309  0.34837979]
[-1.04766731]
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  0.50698485  0.5077719   0.43826103  0.51782458]
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  0.62496487  0.42101443  0.34482995  0.30883112]
[ 0.05972226]
[ 0.50492869  0.6571457   0.32430708  0.48090869  0.558846    0.46740134
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[-0.19597964]
[ 0.39425769  0.36628803  0.6220058   0.52105266  0.27293166  0.4662759
  0.50991547  0.74646983  0.68886374  0.65927824]
[ 1.21443537]
[ 0.5233213   0.67183214  0.2985308   0.33628     0.75642077  0.22101941
  0.72717271  0.37533785  0.28776378  0.33766048]
[-0.8629416]
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[-0.53087038]
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[ 0.8035416]
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[ 0.01469433]
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[ 0.32934359]
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[ 0.37879281]
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[ 0.04118534]
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[-1.09728853]
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[ 1.24699246]
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[-1.48111773]
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[-0.86123604]
[ 0.56162938  0.84766901  0.2886436   0.33541871  0.71231843  0.39086151
  0.65991335  0.44689353  0.34826326  0.31676539]
[ 1.57959168]
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[ 0.68757111]
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[ 0.72001814]
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[ 0.73067074]
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[ 1.83037038]
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[ 0.96502669]
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[ 0.10371159]
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[ 1.97704008]
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[ 0.32203304]
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[ 0.99440562]
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[ 1.37569267]
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[ 0.85341652]
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[ 0.35484622]
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[ 0.04500015]
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[ 1.07915796]
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[ 0.24833906]
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[ 1.01115443]
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[ 0.4867179]
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[ 2.4140875]
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[ 0.14863624]
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[ 0.0084622]
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[ 2.06428325]
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[ 0.16709292]
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[ 0.06077494]
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[ 0.25078527]
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[ 0.32139903]
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[ 1.38272595]
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[ 0.36107237]
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[ 1.33898848]
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[ 0.1171754]
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[ 0.0096873]
[ 0.40773641  0.45738644  0.71738525  0.48537959  0.2529481   0.52982954
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[ 0.37390091]
[ 0.60736056  0.71216943  0.38555983  0.39375376  0.64922141  0.44226455
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[ 0.49219861  0.67187488  0.43126288  0.37355291  0.53088013  0.45053039
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[ 0.39489411]
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[ 1.9804583]
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[ 0.20712743]
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[ 0.49219861  0.67187488  0.43126288  0.37355291  0.53088013  0.45053039
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[ 0.23999936]
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[ 0.31678602  0.5239129   0.6249683   0.40220027  0.47053554  0.62393589
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[ 1.9804583]
[ 0.64594802  0.72641797  0.44267022  0.28868641  0.74812897  0.28379883
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[ 0.87536226]
[ 0.51055989  0.54119701  0.50925524  0.36129379  0.598864    0.38762883
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[ 0.51847489  0.50093617  0.60460502  0.51159913  0.4057863   0.40911851
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[ 2.56782307]
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[ 0.01403293]
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[ 0.47408384  0.46989734  0.60775233  0.46224358  0.4977261   0.63107962
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[ 0.97904593]
[ 0.57469026  0.58028221  0.33456928  0.47961045  0.68257053  0.34846282
  0.60078972  0.45256679  0.44471191  0.37342576]
[ 0.17208837]
[ 0.42559881  0.63364412  0.55097446  0.30012464  0.68766791  0.21196029
  0.54138051  0.32031521  0.31638392  0.39932339]
[ 0.55615518]
[ 0.50951925  0.61503165  0.62404856  0.44568569  0.5498545   0.46014035
  0.4503718   0.52863576  0.46608703  0.51855079]
[ 0.28650173]
[ 0.40500149  0.587326    0.48975113  0.51083645  0.33074373  0.49312728
  0.70207563  0.55558984  0.39515001  0.52879922]
[ 0.59367895]
[ 0.35763197  0.48490262  0.63135584  0.37745963  0.51153746  0.47444801
  0.59633754  0.48443751  0.55197242  0.36356267]
[-0.03357791]
[ 0.35549523  0.34904918  0.59159884  0.55330355  0.32260818  0.54295647
  0.50933454  0.65803909  0.61006811  0.55939038]
[-0.9507684]
[ 0.48031192  0.64459907  0.48323655  0.6001107   0.51571728  0.49476557
  0.58885589  0.52560496  0.4188379   0.48575417]
Progress: 73.7% ... Training loss: 0.608 ... Validation loss: 1.032[-0.77582059]
[ 0.55292305  0.58543263  0.44930021  0.5099084   0.47683169  0.55976939
  0.52842928  0.49355414  0.55223183  0.36039452]
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[ 0.58442165  0.59414448  0.40878548  0.44446002  0.5054792   0.416752
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[ 0.58206017  0.65125538  0.37269706  0.39036656  0.60357267  0.55255808
  0.42730669  0.30540072  0.42523543  0.45046475]
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[ 0.53202645  0.75596342  0.5551973   0.38133336  0.62233785  0.29619692
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  0.56199709  0.49944488  0.3593569   0.52740589]
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  0.38715763  0.74373802  0.64519745  0.60364325]
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[ 0.60537101  0.7117587   0.28241758  0.43208731  0.74885052  0.37536658
  0.59558523  0.28587063  0.43762266  0.27909091]
[ 0.29352176]
[ 0.45089762  0.41662379  0.65378823  0.52576882  0.20860425  0.62818633
  0.53764738  0.50841531  0.5512968   0.74045553]
[-1.00650839]
[ 0.6731785   0.70455611  0.2889829   0.38926433  0.76040106  0.39250539
  0.66089803  0.24135874  0.31928178  0.34641175]
[ 0.40351764]
[ 0.51845309  0.56999593  0.44118545  0.40939682  0.6734352   0.5274136
  0.50869043  0.51676102  0.44857211  0.47236414]
[ 0.31242006]
[ 0.54172126  0.62703012  0.4501883   0.42547528  0.66388932  0.43022626
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[ 1.02778309]
[ 0.47762814  0.70933022  0.49423423  0.32757877  0.64587817  0.43048886
  0.55392394  0.45146341  0.36731608  0.49396911]
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[ 0.44181641  0.39391082  0.61641645  0.54597546  0.41112545  0.57199136
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[ 0.1367288]
[ 0.31927997  0.32044499  0.68234066  0.54954405  0.23640508  0.58991907
  0.35349671  0.62300591  0.70863184  0.73701247]
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  0.57086299  0.30761482  0.34074714  0.43062269]
[ 0.06384823]
[ 0.39714587  0.42968379  0.73798178  0.37799591  0.38347678  0.41398622
  0.41577232  0.31613867  0.46812386  0.50787792]
[ 0.10806021]
[ 0.34909174  0.43946163  0.60015904  0.57220425  0.36706797  0.59932694
  0.44697055  0.6792876   0.60687229  0.557318  ]
[ 0.03320708]
[ 0.44300039  0.4684039   0.74503045  0.40068278  0.30510686  0.44087797
  0.36868321  0.44650005  0.45531352  0.61610026]
[ 0.21452518]
[ 0.37517334  0.38757479  0.6664157   0.46605175  0.22635864  0.558917
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[-0.80185309]
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[-0.04304126]
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[-0.31502223]
[ 0.38785877  0.5076597   0.54028513  0.47021262  0.57111756  0.58545111
  0.50999738  0.32278499  0.36245876  0.39116327]
[ 0.31022641]
[ 0.2556772   0.27188392  0.72059513  0.57267424  0.25246157  0.49171361
  0.5471182   0.64276004  0.55218636  0.55633754]
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[ 0.41647538  0.46306885  0.61961588  0.43615589  0.44700073  0.62940214
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[ 0.5502252   0.52294737  0.47034649  0.57147062  0.45331608  0.41086159
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[-0.36363922]
[ 0.48584842  0.51833671  0.46437014  0.5703338   0.34158384  0.50416003
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[ 0.39959579  0.39601442  0.74989903  0.54233343  0.27776875  0.54409977
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[ 0.63864839]
[ 0.43235958  0.65391422  0.60601385  0.35481924  0.6299146   0.46553259
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[ 0.7015859]
[ 0.60105925  0.68312255  0.4033626   0.4049386   0.72413987  0.37530215
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[-1.0676316]
[ 0.45551622  0.44692935  0.52978807  0.46241897  0.66306315  0.45697088
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[ 0.58765176]
[ 0.59227404  0.74081651  0.4734101   0.31707335  0.55502187  0.35721636
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[ 0.49536861]
[ 0.51200653  0.63401477  0.50159783  0.40908337  0.50118226  0.38292819
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[-0.3341012]
[ 0.36214629  0.61073331  0.65985855  0.35543128  0.53100732  0.48048673
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[-0.05961725]
[ 0.57963719  0.52397372  0.40121462  0.47547471  0.6867857   0.48432958
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[ 0.40663217]
[ 0.59461317  0.81797688  0.43857908  0.3622891   0.59744402  0.2518304
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[ 0.48868853  0.60304048  0.42683929  0.49076247  0.41272588  0.47721873
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[ 0.51935782  0.71504959  0.64817561  0.4247926   0.30522974  0.39672808
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[ 0.51173476  0.62868275  0.4435634   0.39249346  0.78493038  0.26234855
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[ 0.2901427]
[ 0.35251233  0.39355835  0.71589762  0.45104404  0.31713351  0.57239588
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[ 2.09887061]
[ 0.52806881  0.64104199  0.42933644  0.37600165  0.66501698  0.44111866
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[ 0.76586598]
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[ 1.12768318]
[ 0.72418274  0.81259299  0.31616705  0.45275571  0.61924496  0.33436892
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[ 0.0274469]
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[ 0.84264768]
[ 0.68016495  0.58005013  0.44088708  0.43344724  0.62212801  0.38740578
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[ 1.08758586]
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[ 1.62736321]
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[ 1.28695099]
[ 0.61524611  0.72914789  0.32782626  0.42002821  0.62098899  0.44544499
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[ 0.60687266  0.83782545  0.24450302  0.44034428  0.78495029  0.39910349
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[ 0.53121271  0.50208541  0.4461024   0.47773366  0.5812239   0.35916526
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[ 0.00663625]
[ 0.33599253  0.38575473  0.63519153  0.56506866  0.20398198  0.68619589
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[ 0.43429447  0.60471939  0.60371207  0.41357649  0.32554485  0.51515448
  0.55913439  0.50524222  0.50970231  0.6121538 ]
Progress: 74.0% ... Training loss: 0.608 ... Validation loss: 1.038[ 0.60729781]
[ 0.5360715   0.73099216  0.42527252  0.50000295  0.64424018  0.44576333
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[ 1.65079963]
[ 0.65699769  0.76546405  0.29665601  0.32907614  0.83131016  0.17092017
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[ 0.4947795]
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[ 0.6067115]
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[ 0.30414835]
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[ 1.38176193]
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[ 2.75969385]
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[ 1.56808286]
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[ 2.93056239]
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[ 0.07149203]
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[ 0.17419425]
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[ 2.32122013]
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[ 1.79130899]
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[ 0.12012093]
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[ 1.44319456]
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[ 0.61064258]
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[ 0.19862181]
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[ 0.67245386]
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[ 0.47050152]
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[ 0.11701704]
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[ 0.29278433]
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[ 1.04753447]
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[ 0.86473661]
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[ 0.16647103]
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[ 0.98517315]
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[ 0.02248234]
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[ 0.10089467]
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[ 0.48664679  0.55229679  0.50994154  0.48098167  0.66111044  0.45517962
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[ 0.04967072]
[ 0.34454687  0.58478409  0.512306    0.40395234  0.41923578  0.48088158
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[ 0.31493084]
[ 0.45722542  0.60092577  0.51667397  0.46698579  0.36061678  0.56945638
  0.48603638  0.36033237  0.52253531  0.49041844]
[ 0.25770187]
[ 0.53122515  0.45824423  0.67838236  0.43333971  0.31763606  0.52336423
  0.51446539  0.49751826  0.38249909  0.59499037]
[ 1.15590315]
[ 0.52033822  0.61205937  0.55289958  0.36943478  0.6222875   0.51110086
  0.57401069  0.61768497  0.33848471  0.5146645 ]
[ 1.00480885]
[ 0.41927807  0.4344812   0.66193131  0.52802609  0.32729297  0.57662501
  0.47980779  0.72897301  0.51621924  0.6500107 ]
Progress: 74.3% ... Training loss: 0.607 ... Validation loss: 1.030[-0.26598808]
[ 0.29962571  0.44378787  0.6423829   0.46946216  0.28994697  0.60980281
  0.53302245  0.66060439  0.59353661  0.54277545]
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[-1.05835837]
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[ 0.60343679]
[ 0.65066059  0.80505649  0.40266166  0.32694922  0.78194565  0.22398692
  0.68243127  0.49934416  0.1605685   0.28812872]
[ 1.24345605]
[ 0.60327686  0.65404355  0.44574852  0.44490099  0.57703609  0.35000951
  0.66496839  0.36904463  0.29474558  0.4286632 ]
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[ 1.12626571]
[ 0.38502046  0.50446256  0.73383796  0.52149987  0.22864244  0.64034894
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[ 0.17570567]
[ 0.57417714  0.67637122  0.52677425  0.31394297  0.580635    0.35846968
  0.49555879  0.34315376  0.29886572  0.47014224]
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[ 1.18441597]
[ 0.48935674  0.68477437  0.34144851  0.43858244  0.6964716   0.31733293
  0.57871387  0.52691896  0.41117162  0.37593058]
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  0.52776834  0.43211502  0.40707969  0.34437594]
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  0.53972968  0.38762597  0.35383743  0.406238  ]
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  0.5098918   0.62626169  0.54320782  0.6130582 ]
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[ 0.24001829  0.3832063   0.66044095  0.46500482  0.26205637  0.49640725
  0.53534586  0.57313924  0.56212247  0.64278061]
[-0.92744242]
[ 0.43869823  0.57915609  0.57575344  0.48810806  0.48315659  0.47030669
  0.49093815  0.62602832  0.3906995   0.40334839]
[-0.32688141]
[ 0.38319101  0.39617836  0.71445746  0.53803572  0.3096359   0.54060291
  0.40664117  0.6245689   0.50050826  0.54052903]
[-0.52865729]
[ 0.57322109  0.72820318  0.4439319   0.38019626  0.58141279  0.39357472
  0.59357405  0.30212177  0.34400287  0.28506359]
Progress: 74.6% ... Training loss: 0.607 ... Validation loss: 1.047[-0.01429164]
[ 0.31204398  0.57486399  0.63083034  0.59714165  0.25735628  0.6058672
  0.52367694  0.71947254  0.4839838   0.53102272]
[ 0.58138506]
[ 0.44804949  0.52069041  0.69342616  0.47839018  0.24193046  0.53911582
  0.53918967  0.73053681  0.57308373  0.55379232]
[ 0.99593395]
[ 0.35473399  0.42299059  0.53490712  0.50877655  0.45185053  0.54472482
  0.43138672  0.52489231  0.57768922  0.62856287]
[ 1.22906378]
[ 0.59191528  0.66495259  0.34907443  0.36889559  0.76031937  0.25504211
  0.59404169  0.29500116  0.3557802   0.37575463]
[-0.6004474]
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  0.49727015  0.29053423  0.38843554  0.44721314]
[ 0.93751863]
[ 0.51300985  0.63633144  0.54077534  0.35033224  0.59703891  0.50146525
  0.44246763  0.3414609   0.44857007  0.40417091]
[ 0.1157402]
[ 0.47319411  0.5914314   0.41644982  0.3982059   0.72638732  0.35726684
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  0.59682043  0.54317372  0.43196452  0.47288849]
[ 2.75784136]
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[-0.89422525]
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[ 0.02244635]
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[ 0.28564909]
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[ 0.23048473]
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[ 0.72853642]
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[ 0.18917415]
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[ 1.43872513]
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[ 1.09758894]
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[ 0.2319525]
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[ 1.2952813]
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[ 0.12876233]
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[ 1.12877634]
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[ 0.42322229]
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[ 1.62672003]
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[ 0.53123972]
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[ 2.44826465]
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[ 2.05250027]
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[ 0.57505103]
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[ 0.60727059]
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[ 1.29631579]
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[ 2.10433736]
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[ 0.29147319]
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[ 0.15218386]
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[ 1.88027234]
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[ 0.01781819]
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[ 0.10978936]
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[ 0.03178034]
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[ 1.29940664]
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[ 0.74099595]
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[ 1.01883605]
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[ 0.49098077]
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[ 0.13689793]
[ 0.47183074  0.62309537  0.45623625  0.43699712  0.68055893  0.48597109
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[ 0.62967159]
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[ 0.60376772  0.65116012  0.50015638  0.44528209  0.29042814  0.4867654
  0.4890136   0.43294532  0.40603252  0.64802494]
[ 0.54079795]
[ 0.3878695   0.54155208  0.50850174  0.39450686  0.46739771  0.47751621
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[ 0.60906649  0.69999549  0.26809121  0.40571425  0.75828848  0.41091074
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[ 0.02122395]
[ 0.33519194  0.54972674  0.64437964  0.44606642  0.29049101  0.61656367
  0.50066613  0.68476176  0.62653878  0.46183425]
Progress: 74.9% ... Training loss: 0.606 ... Validation loss: 1.037[ 0.00596978]
[ 0.39397178  0.53538591  0.65280698  0.51245505  0.46959266  0.63347095
  0.41988644  0.42907937  0.4381286   0.42153205]
[ 0.22180388]
[ 0.48031111  0.55689384  0.58972994  0.53847685  0.35896965  0.47206982
  0.55087017  0.52267145  0.49922058  0.47517507]
[ 0.52596523]
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  0.44125888  0.60401554  0.5308626   0.62739696]
[ 0.10677786]
[ 0.34860595  0.41388553  0.73450534  0.47247971  0.31213915  0.65156331
  0.37395462  0.64841525  0.60198121  0.51629694]
[ 0.31677615]
[ 0.2813518   0.2699513   0.61648012  0.60445098  0.21176582  0.63052355
  0.55347235  0.59986268  0.54588309  0.60402583]
[ 1.61763615]
[ 0.41908051  0.58286629  0.58086742  0.30566774  0.56974929  0.41848265
  0.64290317  0.60511606  0.47709786  0.51452535]
[ 0.07495368]
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  0.55753894  0.5884884   0.52917999  0.53219875]
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  0.59206038  0.55148793  0.41853727  0.54604958]
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[ 0.44613326]
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[ 0.19238012]
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[ 0.67752245]
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[ 2.2498108]
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[ 0.68191061]
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[ 0.02659976]
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[ 0.21785462]
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[ 0.07994111]
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[ 0.26058888]
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[ 2.05405883]
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[ 1.18124531]
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[ 0.76777783]
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[ 1.08172263]
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[ 0.08699887]
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[ 0.05063695]
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[ 0.07746478]
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[ 0.0193546]
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[ 2.22162841]
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[ 0.5257681]
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[ 3.25709443]
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[ 1.1255678]
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[ 0.09370595]
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[ 1.66241191]
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[ 0.11238888]
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[ 1.67662188]
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[ 0.67446065]
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[ 0.74433145]
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[ 0.33820288]
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[ 0.38331643]
[ 0.45028512  0.54454845  0.65763902  0.47048265  0.23358861  0.47278787
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[ 0.21275016]
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[ 0.68191061]
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[ 0.7446252]
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[ 0.76475505]
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[ 0.17650681]
[ 0.48713721  0.61504906  0.50749561  0.37155396  0.54148977  0.56268904
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[ 0.09499466]
[ 0.35774197  0.51101919  0.72131589  0.56944171  0.1233523   0.722963
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[ 0.54247089  0.62585783  0.43622038  0.5085445   0.65293156  0.41521785
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[ 0.03329442]
[ 0.38011743  0.44155271  0.68917541  0.45182203  0.42655414  0.38147138
  0.52385261  0.56342113  0.38582248  0.3927556 ]
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[ 0.44495777  0.60460399  0.38083741  0.4716459   0.51346642  0.48584411
  0.55214172  0.52117495  0.46921093  0.56008862]
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[ 0.56197608  0.66280851  0.37224108  0.39844494  0.76378686  0.34879486
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[-0.06436839]
[ 0.56425489  0.68083883  0.40300257  0.31905374  0.71413815  0.27058351
  0.67180952  0.48883154  0.26563548  0.39264791]
Progress: 75.1% ... Training loss: 0.606 ... Validation loss: 1.040[ 0.28289974]
[ 0.43360304  0.54667844  0.61056107  0.49805397  0.374501    0.55056146
  0.50251024  0.52447497  0.43904752  0.57600032]
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  0.68078551  0.73348201  0.50971204  0.61505227]
[ 0.48497041]
[ 0.55597592  0.75513775  0.38905044  0.39200118  0.7153216   0.29641112
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[ 0.08284415]
[ 0.35488088  0.43269454  0.76110572  0.56590463  0.16909769  0.62241449
  0.3983411   0.63108823  0.5981755   0.67039989]
[ 0.19445874]
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[ 0.13648677]
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[ 0.25705087]
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  0.61304454  0.4811879   0.36518811  0.57952986]
[ 0.25860265]
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[ 1.8757288]
[ 0.59990618  0.73575145  0.42036195  0.40671413  0.70791373  0.43164946
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[ 0.53799159]
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[ 0.52563515]
[ 0.41868419  0.51627397  0.52778999  0.57787605  0.28872754  0.56580429
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[ 0.26715164]
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[ 1.05496377]
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[ 0.05424887]
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  0.43498382  0.59766346  0.48763047  0.58681165]
[ 0.51434361]
[ 0.55920442  0.70781307  0.35889053  0.53409285  0.65504567  0.53485522
  0.49203446  0.42296474  0.39282171  0.47231124]
[ 0.64510328]
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  0.74629964  0.37206495  0.26383059  0.32003935]
[ 0.35509038]
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[-0.27544434]
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[ 0.38005725]
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[ 0.66826236]
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[ 0.76894248]
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[ 0.54494945]
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[ 0.68966981]
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[ 0.98030186]
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[ 1.09303075]
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[ 2.56920853]
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[ 0.69148026]
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[ 1.59681289]
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[ 0.06486649]
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[ 0.3751994]
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[ 0.33661345]
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[ 1.42800496]
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[ 0.59285819]
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[ 0.05987739]
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[ 1.21919891]
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[ 0.4050607]
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[ 0.74359588]
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[ 0.46061465]
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[ 2.26494811]
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[ 1.50866374]
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[ 1.77670013]
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[ 0.49745425]
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[ 3.2553472]
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[ 1.07814264]
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[ 1.74325462]
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[ 0.05298431]
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[ 2.08530253]
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[ 0.27160654]
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[ 1.07417862]
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[ 0.43163172]
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[ 0.38908485]
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[ 0.22001677]
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[ 0.90919897]
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[ 0.70362589]
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[ 0.24978468]
[ 0.43129259  0.43825005  0.67184445  0.50615195  0.21316273  0.6771119
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[ 1.49221719]
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[ 0.58142678  0.71666018  0.31215791  0.28818456  0.86040405  0.35070388
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[ 1.52159604]
[ 0.31191059  0.45341445  0.72454768  0.5062146   0.3102919   0.6343448
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[ 0.57902322  0.58828286  0.60678214  0.40849116  0.45535854  0.46766451
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[ 1.11076956]
[ 0.55890579  0.74119401  0.44543302  0.34586169  0.71620228  0.31442722
  0.6823116   0.49728637  0.33235309  0.3209672 ]
[-0.22153519]
[ 0.46792678  0.66846851  0.50048354  0.4516549   0.46718221  0.54402441
  0.45531886  0.52933624  0.58946775  0.44149044]
[ 0.33678894]
[ 0.54924413  0.6084536   0.53851394  0.50349769  0.46465833  0.5303053
  0.55181738  0.65156136  0.40248689  0.46941679]
[-0.52010651]
[ 0.67621475  0.71580596  0.36500565  0.40737017  0.71225247  0.27001565
  0.69197586  0.26580496  0.27788405  0.32328088]
[-0.29199825]
[ 0.44910136  0.40772085  0.5881726   0.48443266  0.35950792  0.46010588
  0.45637454  0.53856393  0.5621511   0.68124716]
[ 0.44157561]
[ 0.37769401  0.57246894  0.4692242   0.5122463   0.45362107  0.48764077
  0.56521776  0.64369602  0.56267562  0.52697558]
Progress: 75.4% ... Training loss: 0.607 ... Validation loss: 1.014[-0.15936355]
[ 0.4484219   0.55019719  0.46541189  0.49326101  0.51964169  0.56524205
  0.49066217  0.5669862   0.58167016  0.40349868]
[-0.08096613]
[ 0.29536059  0.44712721  0.67875262  0.65896341  0.3200595   0.70482612
  0.41412306  0.68100338  0.5996551   0.61097274]
[ 1.51246753]
[ 0.76358503  0.73209896  0.32822812  0.40341622  0.6609192   0.26238366
  0.62452081  0.47414372  0.31528861  0.36224258]
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[ 0.53177733  0.55216596  0.48258661  0.57815396  0.28273385  0.58748917
  0.56120734  0.62761685  0.58815141  0.58378262]
[ 0.17238769]
[ 0.59402139  0.66235748  0.44676534  0.34499939  0.79183364  0.3019892
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  0.60284881  0.32481912  0.37553405  0.38528913]
[-0.97852484]
[ 0.48898975  0.4850805   0.56950128  0.49289537  0.50759511  0.48202247
  0.55587935  0.40096061  0.49989043  0.33389936]
[ 0.28771789]
[ 0.44076289  0.48207951  0.51240082  0.41593481  0.47903404  0.40069766
  0.47553629  0.48501091  0.5791693   0.66475144]
[-1.15063573]
[ 0.40952496  0.61841387  0.59042627  0.39197     0.5868613   0.41531527
  0.57130623  0.46768967  0.444366    0.41859133]
[-1.10491809]
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  0.5684548   0.54615821  0.37738142  0.47378944]
[-0.70752866]
[ 0.73117777  0.80206901  0.30330855  0.43722988  0.77916533  0.32013297
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[-0.5008273]
[ 0.37080476  0.56879587  0.62767827  0.45517071  0.27285651  0.52630428
  0.57666095  0.70293784  0.55358364  0.69890096]
[ 3.04640015]
[ 0.61541212  0.70409224  0.34662228  0.32934882  0.76713721  0.27282142
  0.58755832  0.48084712  0.28952773  0.29715026]
[ 0.99968809]
[ 0.35912508  0.46990317  0.51779845  0.54081109  0.3085423   0.60647984
  0.52413898  0.57349518  0.51500088  0.60165195]
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  0.50963838  0.5514344   0.49876826  0.42099043]
[ 0.16375324]
[ 0.39631634  0.47442247  0.55014948  0.55955242  0.32182018  0.65999103
  0.4496279   0.57958133  0.47608557  0.62233296]
[ 0.46207907]
[ 0.50101678  0.51643377  0.42327037  0.43585247  0.62833293  0.29557553
  0.62697695  0.30131554  0.51211748  0.37189278]
[ 1.22218076]
[ 0.57290366  0.76123822  0.40244255  0.30908273  0.68788865  0.26056163
  0.58927143  0.33994097  0.32490028  0.49439952]
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  0.66442954  0.50757323  0.30428843  0.41478017]
[ 0.79605354]
[ 0.33248085  0.54880578  0.53862007  0.44741902  0.3631145   0.49791465
  0.54543021  0.62092597  0.44238826  0.68170659]
[-0.78488596]
[ 0.39636641  0.46208514  0.65653902  0.33287823  0.50400168  0.25544806
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  0.60126977  0.34847804  0.26029286  0.43498706]
[ 0.26162895]
[ 0.46821478  0.5677784   0.2995166   0.42946051  0.57813702  0.39768361
  0.67283618  0.44375669  0.45605185  0.54264822]
[ 0.2711513]
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  0.45209218  0.4822082   0.3784348   0.37089736]
[ 0.42572248]
[ 0.7036758   0.74159381  0.31703448  0.43956163  0.72809899  0.36944331
  0.61061086  0.44891402  0.29927699  0.36218903]
[ 0.40160163]
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[-0.58398072]
[ 0.55602177  0.61244846  0.2954762   0.46379235  0.74418128  0.25695054
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[ 0.36961565]
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[ 0.26051008]
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[ 0.22800243]
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[ 0.26974548]
[ 0.46934819  0.4858221   0.61342351  0.37717408  0.48404775  0.45604801
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[ 0.65525364]
[ 0.64915615  0.80156696  0.24346919  0.31319004  0.80385725  0.27363943
  0.7073332   0.43636157  0.21740356  0.3482581 ]
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[ 0.72897148  0.75659562  0.22521797  0.37213059  0.80546112  0.37489533
  0.60288166  0.26642556  0.36505808  0.21562617]
[ 0.29394745]
[ 0.32394283  0.32807827  0.78426763  0.43177567  0.12852784  0.63267744
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[ 0.39775375  0.38295177  0.73089308  0.35822114  0.44365759  0.32399023
  0.52668099  0.50737871  0.36763623  0.47739547]
Progress: 75.7% ... Training loss: 0.605 ... Validation loss: 1.021[ 1.00039262]
[ 0.56900959  0.6665557   0.37296583  0.57939011  0.53380678  0.49659686
  0.59300994  0.34911164  0.37120568  0.32551029]
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[ 0.6356245   0.64037981  0.450273    0.4188866   0.69576492  0.35522113
  0.64965238  0.24811422  0.26231142  0.32969352]
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[ 1.14180015]
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[ 0.14709397]
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[ 0.28010788]
[ 0.70143882  0.74703487  0.362284    0.36913803  0.74837072  0.25083808
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[ 0.29487722]
[ 0.34373734  0.5509203   0.691841    0.36010771  0.48468744  0.517685
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[ 0.68600658]
[ 0.58691108  0.69878026  0.37349752  0.5578374   0.52502655  0.53768056
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[-0.66277868]
[ 0.51978969  0.53324391  0.42359894  0.50137764  0.44022288  0.34413105
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[ 0.09424245]
[ 0.41172787  0.46958553  0.57677054  0.49550029  0.30020639  0.6368672
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[ 0.38951103  0.37566843  0.65831649  0.48330224  0.30631425  0.60563611
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[ 0.97141697]
[ 0.54844837  0.45901326  0.63034401  0.40591048  0.46233283  0.43558808
  0.45186707  0.58552612  0.5501902   0.64766109]
Progress: 76.0% ... Training loss: 0.605 ... Validation loss: 1.021[ 0.18142103]
[ 0.34789775  0.48748309  0.55541664  0.43733266  0.2520383   0.53386638
  0.50260811  0.61863294  0.68786187  0.63950521]
[ 2.15714499]
[ 0.50740539  0.74796244  0.34333584  0.35621721  0.78159823  0.28585037
  0.55279234  0.41253306  0.25300395  0.37611637]
[ 1.73761337]
[ 0.53526337  0.72908386  0.49951341  0.42579228  0.64934522  0.33404491
  0.62504256  0.53915008  0.25911288  0.2251249 ]
[-0.24587656]
[ 0.35867447  0.5976118   0.55281236  0.47695812  0.39563964  0.44021081
  0.53600828  0.64998451  0.47817443  0.62899594]
[ 0.13259451]
[ 0.4397869   0.6093358   0.54402423  0.42649957  0.41983319  0.41463729
  0.53347261  0.40778013  0.48511974  0.43896879]
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  0.61683229  0.74242438  0.57402693  0.75405474]
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  0.70323899  0.50751716  0.35253675  0.43082162]
[ 0.82912304]
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[ 0.30252634]
[ 0.4570696   0.60042416  0.51676199  0.46718789  0.36020858  0.56958332
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[ 1.33289025]
[ 0.51594585  0.65327537  0.45099025  0.30286979  0.81664339  0.16748779
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[ 0.24645207]
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[ 0.20182848]
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[ 0.63532459]
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[ 1.82863001]
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  0.45415223  0.60640115  0.53794035  0.59771821]
[ 0.48494168]
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[ 0.24707703]
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[ 0.22330936]
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[ 1.0862073]
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[ 0.72724986]
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[ 1.18145721]
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[ 0.03849714]
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[ 0.09713317]
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[ 1.16930048]
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[ 0.353687]
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[ 1.39610779]
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[ 1.88960207]
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[ 0.40174327]
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[ 0.12567819]
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[ 0.17581197]
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[ 0.16049685]
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[ 0.01637128]
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[ 1.29507388]
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[ 0.91464455]
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[ 0.89396039]
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[ 1.94239274]
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[ 2.46850372]
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[ 1.48244716]
[ 0.70123453  0.76049785  0.39487819  0.48738094  0.5893015   0.47718682
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[ 0.96974635]
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  0.39854582  0.70395463  0.61896409  0.67469445]
[ 2.348598]
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  0.62487943  0.58905945  0.44866954  0.54779099]
[ 0.95493963]
[ 0.23802113  0.22054579  0.73289344  0.57333112  0.16768306  0.48650634
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[ 0.09454426]
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[ 0.34876344]
[ 0.47943378  0.80689111  0.3401631   0.3048086   0.76703039  0.42236734
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[ 1.42034035]
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[ 0.24699836]
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[ 0.33734914]
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[-0.30946005]
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[ 0.35716249]
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[ 0.36625875]
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[ 0.2497436]
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[ 0.20665416]
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[ 0.2859752]
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[ 0.72035247]
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[ 0.04889475]
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[ 0.5527869   0.74297565  0.49729943  0.46001793  0.35939536  0.44435066
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[ 1.24972593]
[ 0.54117789  0.74408726  0.41809512  0.37227689  0.70813291  0.36488445
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[ 1.21194943]
[ 0.59076943  0.78355828  0.32695043  0.39354885  0.59140086  0.27904654
  0.75307934  0.54376636  0.25480936  0.43293756]
[-0.45655801]
[ 0.38153069  0.47868307  0.49805907  0.53357384  0.39206592  0.61193
  0.45132266  0.56394992  0.48622609  0.57306542]
[ 0.43253689]
[ 0.44631521  0.71338536  0.3939438   0.34463148  0.67738988  0.42170507
  0.50026982  0.28204048  0.37508289  0.42004226]
[-0.23310753]
[ 0.38422867  0.53717912  0.74202094  0.4689351   0.30740262  0.62840206
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[-0.81889911]
[ 0.52871498  0.51698114  0.42568376  0.57917768  0.62940845  0.53180594
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[ 0.22775128]
[ 0.43084234  0.43773539  0.67218958  0.50669419  0.21267509  0.67738886
  0.41802833  0.56159639  0.60583374  0.71861956]
Progress: 76.3% ... Training loss: 0.607 ... Validation loss: 1.007[-0.47530298]
[ 0.5129549   0.75131777  0.44509548  0.52940985  0.43382577  0.60297964
  0.46235049  0.62563991  0.32591155  0.49941137]
[ 0.90848919]
[ 0.52843301  0.76024609  0.38786642  0.28448944  0.8035279   0.37109377
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[-0.32129624]
[ 0.43267876  0.58234445  0.4971263   0.56722782  0.24184029  0.59029035
  0.5343765   0.68159353  0.5029      0.60886055]
[ 1.08250039]
[ 0.30520408  0.40646597  0.69792463  0.36541733  0.42760258  0.62958843
  0.42738785  0.53120691  0.50814318  0.65546357]
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[ 0.27101983  0.35666647  0.78546966  0.41255063  0.42775203  0.62248241
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[ 0.59913085]
[ 0.68335018  0.71207348  0.45182834  0.3195315   0.81947813  0.28157037
  0.63990179  0.46461622  0.36637241  0.2854005 ]
[ 2.40843636]
[ 0.31480389  0.43113693  0.74709034  0.3436634   0.3527843   0.5502118
  0.53780761  0.62004215  0.60924558  0.56416341]
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  0.6860342   0.38164988  0.20787841  0.44837336]
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[ 0.51045785  0.58651045  0.62018269  0.35534316  0.51320745  0.53206721
  0.54618517  0.61327496  0.65604708  0.56283631]
[ 0.90338439]
[ 0.47420168  0.65032103  0.47457302  0.44742614  0.44675512  0.54803604
  0.53657303  0.6852683   0.51824634  0.69133073]
[-0.27099368]
[ 0.37271201  0.69950669  0.39229647  0.34607653  0.56930861  0.57828324
  0.56853781  0.48369557  0.48566338  0.6615567 ]
[ 1.74465041]
[ 0.60790046  0.79478632  0.36956738  0.32615736  0.77830497  0.29093168
  0.7135451   0.43868486  0.16932856  0.32699897]
[ 0.19078953]
[ 0.57615942  0.71957836  0.34411128  0.42656932  0.79554052  0.28755967
  0.6419264   0.33176282  0.27044505  0.41519077]
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[ 0.38427814  0.5372921   0.74200009  0.46881792  0.30744971  0.62833308
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[-0.92068911]
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  0.55758907  0.62685051  0.52035449  0.6769838 ]
[ 0.33702023]
[ 0.4209637   0.48466852  0.52179009  0.41014108  0.39864071  0.49630284
  0.42884611  0.447423    0.55161003  0.64491648]
[-0.69975097]
[ 0.48031568  0.47520831  0.52644347  0.56925145  0.47198944  0.60708512
  0.56837327  0.42615926  0.50599965  0.53413093]
[ 1.45418053]
[ 0.56142453  0.63973412  0.56289179  0.37261988  0.48865603  0.43153089
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[-0.31217796]
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[-0.0008918]
[ 0.59553218  0.71707479  0.49987526  0.41281449  0.59626844  0.28071276
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[ 0.08239372]
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[-0.13876945]
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[ 0.87558558]
[ 0.61483308  0.51735679  0.48409406  0.44693432  0.6173182   0.39588867
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[-0.15105981]
[ 0.39046707  0.44197035  0.60885688  0.50830091  0.24214495  0.6616273
  0.45205657  0.63180327  0.56267257  0.68870685]
[ 0.59250145]
[ 0.63111022  0.7460577   0.54130146  0.37903087  0.51314751  0.35644583
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[ 0.01186269]
[ 0.33686443  0.38862777  0.60499205  0.70595358  0.28524426  0.57581816
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[ 1.36890907]
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[ 0.30757145]
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[ 0.3245728]
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[ 0.31097128]
[ 0.52910696  0.56760361  0.46128087  0.38236478  0.67793005  0.25504591
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[ 0.05970261]
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[ 0.49693404]
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[ 0.34064     0.40169326  0.69646628  0.60401489  0.32786627  0.66450104
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[ 0.1001411]
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[ 1.38855251]
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[ 0.30204712]
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[ 0.93974342]
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[ 0.34260527]
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[ 0.43568435]
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[ 0.30142731]
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[ 0.19419426]
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[ 0.21749335]
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[ 1.6199485]
[ 0.52101946  0.56035308  0.69644545  0.41339427  0.28753737  0.49149882
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[-0.12740526]
[ 0.44849564  0.69141487  0.44357876  0.37587686  0.70661908  0.31822928
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[-0.44242368]
[ 0.32658505  0.52407786  0.55212897  0.48587266  0.41343591  0.66368158
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[ 2.25992542]
[ 0.75456575  0.85460205  0.23928816  0.29540675  0.844446    0.1574299
  0.7768239   0.37674964  0.21351217  0.27385946]
Progress: 76.6% ... Training loss: 0.605 ... Validation loss: 1.012[-0.7741217]
[ 0.53985347  0.65136138  0.36496794  0.59576764  0.3237133   0.49347874
  0.63364062  0.73120496  0.58465779  0.48703467]
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[ 0.4387354]
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[ 1.4470486]
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[ 0.79889313]
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[ 3.04883401]
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[ 0.8306989]
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  0.57949316  0.75903601  0.70069826  0.54792281]
[ 0.99414801]
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[ 1.42736763]
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  0.6627994   0.28868031  0.18510632  0.27758443]
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[ 0.13632361]
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[ 0.54811843]
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[ 0.07796045]
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[ 0.75355041]
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[ 0.70067086]
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[ 0.58682151]
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[ 1.11623426]
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[ 0.09813483]
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[ 0.18698897]
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[ 0.46446776  0.53955905  0.47364328  0.51670943  0.37965093  0.62131159
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[ 0.48509638  0.58892641  0.47234978  0.47856964  0.61977466  0.4053355
  0.56567622  0.35897529  0.385146    0.40272796]
[ 0.56003068]
[ 0.59935357  0.67926034  0.2873261   0.4882905   0.64682865  0.35983451
  0.61778218  0.43743893  0.37402787  0.49691603]
[ 1.7475934]
[ 0.56291097  0.78211958  0.35728433  0.34677072  0.59055368  0.35886688
  0.68617088  0.53425764  0.28944086  0.48288217]
Progress: 76.9% ... Training loss: 0.604 ... Validation loss: 1.009[ 0.4752209]
[ 0.42393059  0.5670422   0.66940575  0.48175013  0.42171694  0.5276282
  0.49430659  0.45858877  0.50495516  0.35414948]
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[ 0.47771104  0.62529664  0.64535453  0.51261459  0.408703    0.45471953
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[ 0.53040325]
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[ 0.66618441]
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[ 1.79835895]
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[ 1.05661858]
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[ 0.55482145]
[ 0.54078209  0.63055489  0.51283619  0.45845254  0.51428563  0.45474184
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[ 2.50434738]
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[ 0.96505975]
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[ 0.32544995]
[ 0.48027372  0.807595    0.3395363   0.30393089  0.76815935  0.42163047
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[ 0.97298379]
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[ 0.64059065  0.77160237  0.30509088  0.41508435  0.80826497  0.26178109
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[ 0.55634946  0.58070999  0.4168281   0.46563878  0.57318387  0.32609603
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[-0.43135513]
[ 0.4355577   0.43961117  0.65879142  0.57763727  0.2477407   0.4956956
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[ 0.38436677  0.72563155  0.38974236  0.445112    0.49616623  0.37954918
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[-0.22871037]
[ 0.32881181  0.3771352   0.64801022  0.43173201  0.3735862   0.48495662
  0.63677595  0.54689835  0.47913946  0.58285892]
Progress: 77.1% ... Training loss: 0.605 ... Validation loss: 1.005[ 0.19568401]
[ 0.62944678  0.67724424  0.39055982  0.29745056  0.77814925  0.24114445
  0.52650717  0.37541061  0.35589679  0.3455695 ]
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  0.53519471  0.64800762  0.59562517  0.57436538]
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  0.58297048  0.50118273  0.37169236  0.50850858]
[ 0.25965887]
[ 0.47024911  0.48687032  0.61272144  0.3760141   0.48523326  0.45502978
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[ 1.01474694]
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[ 0.28334898]
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[ 0.08796578]
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[ 1.51683748]
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[ 2.06851697]
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[ 0.18399137]
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[ 0.36871053]
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[ 0.66202888]
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[ 0.16508545]
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[ 1.07902706]
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[ 0.2570818]
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[ 1.34480972]
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[ 2.75631899]
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[ 0.84313313]
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[ 0.02158619]
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[ 0.36703862]
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[ 2.97315256]
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[ 0.75325338]
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[ 1.52002204]
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[ 0.10414598]
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[ 1.01479578]
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[ 0.51157067]
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[ 0.33074529]
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[ 0.15998671]
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[ 0.78052197]
[ 0.50929161  0.55036674  0.5786063   0.45735932  0.4619144   0.5556629
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[ 0.31726784]
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[ 0.0161101]
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[ 0.76477748]
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[ 0.2361552]
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[ 0.16033306]
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[ 0.52995333  0.75028903  0.42699736  0.48891271  0.64035512  0.3814254
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[ 1.33865999]
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[ 2.59682797]
[ 0.56594877  0.86411638  0.33774394  0.36739226  0.73294431  0.25695163
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[ 1.78082074]
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[ 0.21394223]
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[ 1.17392554]
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[ 0.45878013]
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[ 0.29979155]
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[ 0.03888176]
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[ 0.04315647]
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[ 0.45473403]
[ 0.27086736  0.2286115   0.77250113  0.65158242  0.15907833  0.72096849
  0.41045974  0.80734077  0.80234483  0.72435322]
[ 0.97994196]
[ 0.47128975  0.61389624  0.38193409  0.44600303  0.58335857  0.24493875
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[ 0.3488378]
[ 0.27570974  0.26228274  0.75721099  0.42843834  0.23628382  0.40302057
  0.49449719  0.59590168  0.66709718  0.6413484 ]
[ 1.45288051]
[ 0.5872417   0.58102364  0.41385944  0.4887152   0.59240161  0.51109222
  0.55715224  0.46070478  0.50411452  0.26242786]
[ 1.6848788]
[ 0.61294532  0.6694909   0.45271243  0.30274651  0.79657579  0.39049642
  0.64355337  0.38886629  0.33455733  0.36301647]
Progress: 77.4% ... Training loss: 0.610 ... Validation loss: 0.987[-0.14313589]
[ 0.47140715  0.54726486  0.63747246  0.40354235  0.54923174  0.43754291
  0.58050126  0.51918101  0.41027109  0.41958443]
[ 0.25333781]
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[ 0.41290675]
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  0.42290358  0.54588654  0.49661809  0.61724582]
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[ 0.88321688]
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[ 0.91535735]
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[ 0.27509853]
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[ 0.10211019]
[ 0.54791661  0.78753214  0.36266128  0.32493143  0.78372903  0.23187522
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[ 0.58991294]
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[ 2.75797059]
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  0.56224237  0.69077041  0.62793943  0.47736403]
[ 0.33999498]
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[ 1.6121999]
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[ 0.15709187]
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[ 0.65250013]
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[-0.16502562]
[ 0.4134051   0.56633642  0.61835103  0.55016962  0.31872744  0.6007509
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[ 1.61357454]
[ 0.56966615  0.57980767  0.48897032  0.55729809  0.29838423  0.49609267
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[ 1.11789057]
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[ 1.13124824]
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[ 0.50948473]
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[ 1.06207392]
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[-1.20309165]
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[ 0.21960723]
[ 0.55126709  0.80604997  0.26141647  0.3467971   0.77546241  0.29484981
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[ 2.46355311]
[ 0.52941355  0.70498846  0.45069611  0.3214232   0.71145765  0.43466286
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[ 0.53407597]
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[ 0.51748668]
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[ 0.73647631]
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[ 2.62641162]
[ 0.35766242  0.60400394  0.58044664  0.3843103   0.52578987  0.46380227
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[ 0.0127946]
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[ 0.30221613]
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[ 1.08846625]
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[ 1.66073485]
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[ 0.91044183]
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[ 1.99537997]
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[ 2.06257711]
[ 0.37533571  0.24233794  0.71428556  0.53263244  0.19751326  0.58902475
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[ 0.67676571]
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[ 0.29279239]
[ 0.42609403  0.47991091  0.51049443  0.40849066  0.51903139  0.54726233
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[ 0.59225071  0.72816232  0.34186607  0.27473018  0.7923076   0.39423524
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[ 0.66871241  0.6970408   0.4098607   0.36591272  0.6813159   0.37896936
  0.60059175  0.29049877  0.29181789  0.30254163]
Progress: 77.7% ... Training loss: 0.608 ... Validation loss: 0.988[ 0.00716423]
[ 0.36840766  0.38979978  0.73432066  0.53117907  0.15586959  0.682369
  0.44233461  0.65306745  0.64125145  0.73166065]
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[ 1.23525836]
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[ 0.23450396]
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[ 0.5236843]
[ 0.6570227   0.75743907  0.34575279  0.3539899   0.59136705  0.40049999
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[ 1.16966511]
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[ 1.31451569]
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[ 0.64238487]
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[ 0.60244346]
[ 0.46159754  0.55425539  0.52691526  0.48014096  0.34183146  0.59038574
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[ 1.87635667]
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[ 0.14722958]
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[ 0.17613489]
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[ 0.15118041]
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[ 0.02872999]
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[ 1.14187213]
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[ 1.86397836]
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[ 0.06718695]
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[ 0.30388742]
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[ 0.45215791]
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[ 0.17314887]
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[ 0.03997558]
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[ 0.70112917]
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[ 0.4416441]
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[ 0.50158193]
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[ 0.44609483]
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[ 0.04831596]
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[ 3.00735305]
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[ 2.73718448]
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[ 0.86526044]
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[ 0.09170051]
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[ 0.39854039]
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[ 1.08828092]
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[ 0.1126248]
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[ 0.46127588]
[ 0.35938598  0.44956715  0.67115259  0.44523034  0.31774023  0.52446851
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[ 0.25859912]
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[ 0.40819555  0.56262     0.55169853  0.55917773  0.51241783  0.53743568
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[ 0.71932497]
[ 0.58073397  0.56198681  0.51107409  0.54389755  0.30320409  0.45492071
  0.58561815  0.61059186  0.41692551  0.68170442]
[ 0.06624732]
[ 0.38394985  0.5010441   0.7534629   0.38282051  0.36667556  0.53318398
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[-1.01106717]
[ 0.52015899  0.58440965  0.50085583  0.52100407  0.51134014  0.51174657
  0.5383096   0.49132123  0.4279084   0.39585594]
[ 0.19903193]
[ 0.57621569  0.52263083  0.51833034  0.4901768   0.32458826  0.43365914
  0.58660667  0.45399895  0.37153855  0.6240404 ]
[-0.250698]
[ 0.40559258  0.53403808  0.59731712  0.50289338  0.30057068  0.47570795
  0.49752221  0.62266346  0.55144303  0.65923669]
[ 0.23493148]
[ 0.54452631  0.65700521  0.57484401  0.42805311  0.56464744  0.35902219
  0.64738662  0.48768092  0.30235348  0.45471785]
Progress: 78.0% ... Training loss: 0.609 ... Validation loss: 0.985[-0.58642305]
[ 0.58705003  0.3314456   0.65008578  0.50798291  0.31804707  0.45582218
  0.47273873  0.43109656  0.5057334   0.50410262]
[ 1.00935216]
[ 0.48232619  0.59077404  0.44911535  0.42589453  0.61766478  0.4886427
  0.53407835  0.46985026  0.37859081  0.46566462]
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[ 0.54204773  0.6330788   0.47113457  0.3497796   0.67655846  0.30330355
  0.66417945  0.45919677  0.34937825  0.5165975 ]
[-0.64987672]
[ 0.49460188  0.70953877  0.40522786  0.48183339  0.5277032   0.38766806
  0.63537798  0.5535335   0.3537226   0.36257598]
[ 0.48433534]
[ 0.26440259  0.54229457  0.79457642  0.44943909  0.13670212  0.62439706
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[ 0.11884876]
[ 0.60886529  0.73536917  0.42823067  0.32043433  0.78669161  0.32354796
  0.69992903  0.42289174  0.30729947  0.40504947]
[ 1.54720308]
[ 0.72932924  0.68030242  0.43872357  0.48303289  0.51589193  0.42835133
  0.64166194  0.34022065  0.25572772  0.40068943]
[ 0.56626147]
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  0.61887384  0.51974322  0.25157293  0.43493251]
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  0.58170504  0.60871296  0.47370032  0.69322709]
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  0.45369013  0.54148859  0.4771904   0.37466353]
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[ 0.67826785  0.70478691  0.2885814   0.43953529  0.70381509  0.46801634
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[ 0.03435419]
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  0.59821524  0.43908941  0.28069868  0.23501401]
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[ 0.53731101  0.7758304   0.30641739  0.42562922  0.71925528  0.52830808
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[ 0.51998954  0.6040848   0.45798151  0.47411356  0.4490987   0.49127734
  0.51602036  0.50179601  0.51454884  0.52384394]
[ 2.53627546]
[ 0.58755033  0.73077488  0.35195003  0.34274482  0.75744767  0.31410252
  0.6577352   0.33228349  0.30816236  0.23224303]
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[ 0.56536256  0.74412687  0.43456473  0.35473379  0.7538476   0.32473579
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[ 0.03551034]
[ 0.42665585  0.49813831  0.5852161   0.49958888  0.35666369  0.49930682
  0.51343571  0.58866059  0.44078016  0.62893635]
[ 0.67197396]
[ 0.55976986  0.56346167  0.56790279  0.40782951  0.37356723  0.38380293
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[ 0.42424766  0.49184141  0.54662053  0.53523217  0.45742483  0.62015356
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[ 0.6097712   0.72260883  0.45137925  0.44674542  0.72887985  0.40019697
  0.50489005  0.36317837  0.38736707  0.40923702]
Progress: 78.3% ... Training loss: 0.604 ... Validation loss: 0.997[ 0.14881338]
[ 0.35008431  0.50735512  0.5973423   0.46538073  0.41716152  0.57376896
  0.49895893  0.57560962  0.64320131  0.4673508 ]
[ 1.31249267]
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[ 0.47257546]
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[ 0.96475184]
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[ 0.08549786]
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[ 0.20331548]
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[ 0.1797208]
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[ 0.15018452]
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[ 0.10024447]
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[ 0.69867215]
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[ 1.02952872]
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[ 1.27976569]
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[ 1.23021584]
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[ 2.41748682]
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[ 0.61456864]
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[ 2.77999772]
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[ 0.1967644]
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[ 1.27963511]
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[ 0.69231852]
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[ 0.04121829]
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[ 0.28145207]
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[ 0.30822413  0.30857598  0.68490311  0.4683366   0.31882116  0.61512634
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[ 0.41492735  0.41704668  0.70412554  0.44629785  0.26553257  0.52026955
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[ 0.24523086]
[ 0.28171637  0.32345508  0.72857578  0.4795901   0.2587326   0.5018945
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[ 0.30528221  0.39480642  0.52759503  0.45023209  0.40561535  0.63744473
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[ 0.64832128]
[ 0.55934688  0.82027135  0.28960913  0.31308283  0.861726    0.17737653
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[-1.42296915]
[ 0.55676683  0.53776685  0.48865306  0.4393317   0.67363994  0.3864784
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[ 0.59993619]
[ 0.41549049  0.5849296   0.60862735  0.51310525  0.23707582  0.59094811
  0.47227887  0.71265666  0.65269879  0.51906412]
Progress: 78.6% ... Training loss: 0.604 ... Validation loss: 0.992[-0.18222799]
[ 0.42120506  0.50481217  0.71130114  0.5431758   0.19241502  0.61659173
  0.43864312  0.71072993  0.65842874  0.56117838]
[ 0.81449727]
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[-0.42550401]
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[ 1.60236913]
[ 0.59195912  0.84423737  0.36635502  0.38728658  0.7202511   0.29872627
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[ 1.37626128]
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[ 0.22654035]
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[ 1.15673082]
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[ 1.45134047]
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[ 1.49250358]
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[ 0.43935015]
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[ 1.5620121]
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[ 0.56493559]
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[ 0.11272424]
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[ 2.021528]
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[ 1.78836138]
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[ 0.98960383]
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[ 0.61661005]
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[ 0.27119687]
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[ 0.51222358]
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[ 0.38671882]
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[ 0.4021878]
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[ 0.03418717]
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[ 0.34492086]
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[ 1.96134534]
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[ 0.03114686]
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[ 0.80701843]
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[ 0.47741144]
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[ 0.17903302]
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[ 0.05454603]
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[ 0.0367725]
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[ 0.16497668]
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[ 0.93427447]
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[ 1.26297721]
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[ 0.29367552]
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[ 0.34118816]
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[ 1.7298482]
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[ 0.73337852]
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[ 1.2158802]
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[ 0.17380733]
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[ 0.05964274]
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[ 0.71404789]
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[ 0.43578746]
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[ 0.98874801]
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[ 0.94555874]
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[ 2.37707465]
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[ 0.5102346]
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[ 0.55523083]
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[ 1.20785327]
[ 0.45220815  0.52926679  0.73346905  0.26272412  0.494028    0.45841487
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[ 0.19835047]
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[ 0.51342952]
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[ 1.02393644]
[ 0.45117094  0.47566964  0.6737132   0.49476542  0.37934638  0.55585915
  0.5429916   0.64995202  0.45600409  0.4868718 ]
[-0.82384609]
[ 0.54531019  0.75329617  0.47984088  0.33224497  0.4834222   0.31209229
  0.68321674  0.62761807  0.3060896   0.38450204]
[ 0.59571584]
[ 0.47589069  0.67653408  0.42757183  0.47084296  0.69510688  0.48286954
  0.53194315  0.60743137  0.46916581  0.46868291]
[-0.16838172]
[ 0.43418802  0.72193467  0.34084267  0.51475484  0.52279621  0.6620333
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[-0.65544133]
[ 0.35865188  0.52212688  0.51477519  0.50414974  0.3824027   0.51255428
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[ 0.03839661]
[ 0.52087265  0.55266345  0.57183683  0.40938418  0.47108015  0.38883671
  0.44131804  0.47598192  0.44813613  0.50069021]
Progress: 78.9% ... Training loss: 0.605 ... Validation loss: 0.988[-0.19754268]
[ 0.59248665  0.48559936  0.58365877  0.42142427  0.53558787  0.43396346
  0.53728548  0.46640896  0.51065973  0.49716735]
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[ 0.13978776]
[ 0.53757704  0.74165199  0.44192538  0.33658914  0.54886898  0.38127359
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[ 1.66297197]
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[ 0.34454403  0.51663727  0.62638558  0.46048617  0.57723059  0.67120495
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  0.47320041  0.5690536   0.55624654  0.5342946 ]
[ 0.03016055]
[ 0.49859869  0.47351552  0.4702975   0.51159609  0.55756927  0.42209053
  0.46769275  0.43452857  0.49450021  0.4311335 ]
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[-0.04756858]
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[-1.28313687]
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[ 0.31317537]
[ 0.33986809  0.34066829  0.67284305  0.58970895  0.23311836  0.64778657
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[ 0.59354999]
[ 0.35288604  0.41484198  0.52464306  0.54875818  0.40506191  0.53713823
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[ 1.2081791]
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  0.34665681  0.66349703  0.60106019  0.69639042]
[-0.16764783]
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[-1.75652848]
[ 0.588776    0.78882532  0.42177355  0.35681983  0.77241002  0.3038856
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  0.6436378   0.55128422  0.3912313   0.54923846]
[ 0.46592854]
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[ 0.22198559]
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[ 0.57311834]
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[ 0.99538171]
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[ 0.2331982]
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[ 0.03606955]
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[ 0.96208167]
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[ 0.13419592]
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[ 0.09427003]
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[ 2.54600749]
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[ 2.35151626]
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[ 0.69038488]
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[ 1.07217106]
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[ 0.08254613]
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[ 1.1945426]
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[ 0.08863227]
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[ 0.18643845]
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[ 0.08686553]
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[ 0.33214067]
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[ 1.74842404]
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[ 0.44936382  0.62502926  0.51723271  0.49830427  0.52074798  0.36468635
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[-0.26954212]
[ 0.55334192  0.5688448   0.66669853  0.34667587  0.46974885  0.30029267
  0.68760057  0.56337973  0.26780786  0.44961879]
[-0.2647564]
[ 0.33769782  0.5141766   0.70388518  0.53547205  0.30332219  0.56484708
  0.5788272   0.77852836  0.58067306  0.55949814]
[ 0.24683282]
[ 0.60997188  0.81281973  0.36719214  0.34755319  0.70213833  0.32845797
  0.61996396  0.42617101  0.24779336  0.29094308]
Progress: 79.1% ... Training loss: 0.603 ... Validation loss: 0.992[-1.23515192]
[ 0.46712205  0.66568697  0.58566058  0.53165895  0.57297054  0.45468588
  0.57448227  0.47618834  0.30193279  0.38117309]
[ 0.54047183]
[ 0.39732677  0.52297693  0.53416662  0.39077897  0.51192755  0.53982545
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[ 0.62333925]
[ 0.68906976  0.76086991  0.296789    0.33068469  0.78142484  0.23157015
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[ 2.22028842]
[ 0.43610399  0.49900218  0.67866961  0.42018867  0.5151765   0.42804011
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[ 0.42873878]
[ 0.47248135  0.69293627  0.38209963  0.43516064  0.69131822  0.43218165
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[ 2.30621518]
[ 0.47769322  0.64677143  0.50943688  0.46415749  0.53750548  0.50901855
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  0.63554664  0.45952367  0.34360833  0.36328211]
[ 0.38681974]
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[ 1.28350468]
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[ 0.46957123]
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[ 0.14423267]
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[ 0.93130905]
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[-1.06453227]
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[ 1.40446144]
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[ 2.16805619]
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[ 0.03559924]
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[ 1.71477133]
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[ 0.40828716]
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[ 0.24066151]
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[ 0.64767121  0.75258406  0.30411262  0.30425778  0.83023615  0.30184863
  0.70574022  0.23684944  0.25175835  0.2589329 ]
[ 0.06620559]
[ 0.45678197  0.5889859   0.56352182  0.39535601  0.52081135  0.38002985
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[-0.75757406]
[ 0.47259034  0.46464012  0.56956136  0.53125289  0.4688641   0.58206892
  0.49206622  0.62011129  0.45274186  0.47865968]
[ 0.27463824]
[ 0.43124083  0.58451716  0.56556254  0.43205898  0.49897418  0.52644259
  0.49210256  0.46158826  0.32428677  0.44235781]
[-0.94320496]
[ 0.45135552  0.46625922  0.57076588  0.4936805   0.52192153  0.53916073
  0.55022356  0.4030548   0.49602743  0.3494739 ]
[ 0.4014697]
[ 0.64067772  0.72139738  0.47930575  0.40561385  0.60808576  0.35265953
  0.65990817  0.42749214  0.30156005  0.4312614 ]
Progress: 79.4% ... Training loss: 0.599 ... Validation loss: 1.011[-0.40813503]
[ 0.57387442  0.6159501   0.41257874  0.57664616  0.46370798  0.46265075
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[ 0.32692351]
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[ 0.05335461]
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[ 0.28230964]
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[ 0.03068919]
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[ 1.21819748]
[ 0.67794913  0.65775554  0.53053203  0.50722596  0.29542473  0.45657776
  0.5987544   0.6239835   0.31473455  0.57597078]
[ 0.6090301]
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[ 0.93971984]
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[ 0.29773945]
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[ 2.41192593]
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[ 0.25403175]
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[ 0.49958894  0.59308658  0.43010554  0.47949005  0.62430363  0.50736821
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  0.50699694  0.58554811  0.58584532  0.57838018]
[ 2.59109447]
[ 0.31526617  0.45395089  0.49625019  0.39690758  0.55917583  0.44128746
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[ 0.67875162]
[ 0.60920131  0.70704019  0.29346369  0.3558063   0.78040889  0.30550275
  0.60116492  0.23405883  0.30837136  0.32961232]
[ 1.90024174]
[ 0.49386866  0.63225188  0.59314478  0.33133007  0.61698725  0.37371381
  0.56570138  0.44698634  0.2685554   0.37268017]
[-0.44973884]
[ 0.58825717  0.56306309  0.45180003  0.54124179  0.38164205  0.44559718
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[ 0.45196439  0.43572277  0.57827104  0.43124173  0.42646174  0.37558912
  0.5499978   0.74135125  0.64248751  0.48206666]
[-0.02211388]
[ 0.50850289  0.83768846  0.42795827  0.31476006  0.77958148  0.41314863
  0.48592899  0.379083    0.28102136  0.37900261]
Progress: 79.7% ... Training loss: 0.599 ... Validation loss: 1.002[ 0.76695572]
[ 0.6790575   0.75783905  0.46719213  0.32234322  0.70823071  0.27977551
  0.68137199  0.401328    0.19285399  0.33867208]
[ 0.37593061]
[ 0.46758837  0.43930866  0.58095821  0.43346467  0.54459297  0.45532576
  0.46402737  0.54535485  0.5387124   0.5507215 ]
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[ 0.43831832  0.6353625   0.43600062  0.37807004  0.48598778  0.50182647
  0.5615143   0.5103145   0.45802713  0.443824  ]
[-0.50340408]
[ 0.63152869  0.62200828  0.32482852  0.43244468  0.66402531  0.38027939
  0.60609782  0.42772671  0.46785099  0.26649943]
[ 0.04765262]
[ 0.33101571  0.36021136  0.66274002  0.72353831  0.2145411   0.66927564
  0.49668902  0.7252082   0.62579905  0.60881133]
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[ 0.54463087  0.73390946  0.36147822  0.54840616  0.55288738  0.49920861
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[ 0.30663687]
[ 0.63248233  0.78906442  0.31187176  0.38170294  0.84493185  0.33295437
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[ 0.0448831]
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  0.53039287  0.65505273  0.5450667   0.56026175]
[ 0.73350122]
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[ 0.21381909]
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[ 1.72053763]
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[ 1.15004218]
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[ 0.57525051]
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[ 2.19039065]
[ 0.66396062  0.80688423  0.28415049  0.24694682  0.88119643  0.2687245
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[ 0.25552887]
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[ 2.69444083]
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[ 0.4910045]
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[ 0.10088769]
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[ 0.30718842]
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[ 0.3269595]
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[ 0.33668317]
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[ 0.42252413]
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[ 0.11603218]
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[ 0.83134609]
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[ 0.57458315]
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[ 1.34868234]
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[ 1.35071191]
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[ 1.57766883]
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[ 3.14900829]
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[ 0.5792533]
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[ 1.3835356]
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[ 0.9603185]
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[ 1.48678287]
[ 0.31306497  0.45817615  0.72398927  0.50350845  0.31401617  0.63174122
  0.34194855  0.72045816  0.57944769  0.68513714]
[ 0.02076103]
[ 0.51793871  0.68054557  0.47313228  0.35335438  0.58567617  0.31333176
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[ 0.78708947]
[ 0.516204    0.70383294  0.61407674  0.2624102   0.47112311  0.42484612
  0.61030589  0.63618519  0.41886172  0.5403713 ]
[ 1.11739912]
[ 0.38569028  0.50784408  0.73362277  0.51950208  0.23049209  0.63869714
  0.42874928  0.63264707  0.53108174  0.59863043]
[ 0.68381853]
[ 0.60176536  0.53420929  0.54494681  0.4633275   0.46482882  0.43667567
  0.5459212   0.37261452  0.42610944  0.5513058 ]
[ 2.38293274]
[ 0.51805107  0.64690018  0.48999335  0.33512159  0.6511261   0.44011969
  0.53013461  0.34946447  0.42615384  0.27121516]
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[ 0.31094018  0.63115231  0.62223333  0.55344225  0.26545756  0.57832437
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  0.49934776  0.65878141  0.44846576  0.49216215]
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[ 1.95077261]
[ 0.55728317  0.72285566  0.44885354  0.35877674  0.72609881  0.38510522
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[ 0.25715325]
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[ 0.12073531]
[ 0.55134091  0.70129982  0.34540099  0.40916698  0.67829247  0.43372804
  0.55155319  0.3621889   0.35929713  0.41446787]
[ 0.952803]
[ 0.51692723  0.63475318  0.3672441   0.46762201  0.68778466  0.41216227
  0.66630455  0.44405559  0.33165781  0.36143137]
[ 0.26338534]
[ 0.66777866  0.73860303  0.24125561  0.3242127   0.87008081  0.16423667
  0.71139766  0.23685078  0.28696115  0.28412266]
[ 1.03850695]
[ 0.74891903  0.75686898  0.30485198  0.36517297  0.73419643  0.28153271
  0.69341892  0.47360314  0.26272293  0.2831566 ]
[-0.6323309]
[ 0.62305668  0.63160035  0.44833888  0.35847034  0.70317382  0.3152055
  0.59739435  0.38815839  0.50196894  0.56314941]
[-1.09987485]
[ 0.49753942  0.57623285  0.52723052  0.41993973  0.59647213  0.54775471
  0.57553631  0.50642856  0.46346493  0.47947781]
[ 0.44035763]
[ 0.46061675  0.6271019   0.57662121  0.37374444  0.45350511  0.33444799
  0.56561175  0.34545309  0.35185082  0.57473617]
[-0.61777092]
[ 0.53428376  0.60073651  0.3883419   0.50203514  0.48083859  0.3929645
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[ 2.96647268]
[ 0.3978159   0.56358632  0.48829035  0.37735214  0.68794352  0.47919416
  0.55474594  0.47131594  0.37616576  0.3411437 ]
[ 0.16934048]
[ 0.42903731  0.52076379  0.60092174  0.41345646  0.46513757  0.4206564
  0.44811613  0.31883517  0.42900544  0.53204893]
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[ 0.51033783  0.4580086   0.66019767  0.39128553  0.46927748  0.30457935
  0.44868475  0.42015114  0.42782877  0.44409255]
[ 1.21055082]
[ 0.29484912  0.4216739   0.68072987  0.39590967  0.42145802  0.63471457
  0.40398427  0.53017872  0.50785379  0.64495031]
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[ 0.36764177  0.40970711  0.70198211  0.4790976   0.32504826  0.4240049
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[-0.66939609]
[ 0.50666751  0.60133409  0.60325684  0.4256271   0.61501822  0.39904727
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[ 0.11832809]
[ 0.36775326  0.46032803  0.79168015  0.46812294  0.1520093   0.61008617
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[ 0.55865029  0.68976559  0.36124654  0.43526359  0.59124086  0.52113262
  0.51203378  0.48580376  0.5145359   0.39548911]
[ 0.3579689]
[ 0.63901242  0.57212161  0.50784135  0.52774168  0.45913505  0.55427931
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[ 0.23636003]
[ 0.37640659  0.51405063  0.36616865  0.55863359  0.4253465   0.59144519
  0.64497025  0.53976086  0.4694957   0.53826237]
[ 0.17299269]
[ 0.6630892   0.79403368  0.30407425  0.37625378  0.78739262  0.26344329
  0.70316095  0.32437478  0.19066778  0.28607292]
[ 0.76322043]
[ 0.46429465  0.81963941  0.37852593  0.43825467  0.68222507  0.27432273
  0.67554001  0.4144694   0.28756319  0.36063289]
[-0.13500759]
[ 0.55199072  0.56927623  0.42242393  0.52631148  0.62343628  0.50595339
  0.49133317  0.4137924   0.45870318  0.49623711]
[ 0.23154767]
[ 0.39160506  0.55229387  0.45995349  0.57056849  0.42524312  0.41292262
  0.63312034  0.66378622  0.53522969  0.48918608]
[-0.33945666]
[ 0.41853531  0.59573462  0.65608601  0.4346032   0.32715921  0.45063378
  0.4800489   0.50825128  0.3321019   0.41879378]
[-0.19438835]
[ 0.3091066   0.38434331  0.6958411   0.57032934  0.2792706   0.5702276
  0.55834091  0.71458191  0.58923016  0.64499283]
Progress: 80.0% ... Training loss: 0.599 ... Validation loss: 0.996[-0.86587922]
[ 0.35987253  0.46496917  0.56027022  0.43747919  0.43321357  0.34747357
  0.62411249  0.49383087  0.39558805  0.54465775]
[ 0.04223158]
[ 0.50729793  0.57939176  0.50224035  0.5139567   0.20553845  0.6095338
  0.50171209  0.48116768  0.57352054  0.75976016]
[ 0.26269935]
[ 0.49134292  0.45766971  0.67225037  0.45313987  0.48128039  0.46419931
  0.55255537  0.69212836  0.45577874  0.56183347]
[-0.11474063]
[ 0.27926487  0.41055939  0.69569566  0.51337669  0.25217568  0.53591133
  0.50320904  0.75294296  0.63906915  0.70456074]
[-0.58673794]
[ 0.62727097  0.70211875  0.43527919  0.38003223  0.62658863  0.40326403
  0.59948695  0.50506898  0.33378917  0.3984335 ]
[ 1.67856656]
[ 0.51355041  0.67167369  0.50227656  0.37660487  0.60844726  0.37617212
  0.51847481  0.25673821  0.39875594  0.45264635]
[ 1.33916468]
[ 0.71383847  0.70957812  0.37717516  0.39071969  0.72195671  0.3815006
  0.69078041  0.37406366  0.26832175  0.35117311]
[-0.29137938]
[ 0.60017307  0.47814375  0.45258816  0.49414562  0.59174098  0.40475612
  0.47177834  0.46146153  0.48525491  0.45551121]
[ 0.2716219]
[ 0.2327858   0.39362927  0.59867539  0.49358516  0.3277195   0.59235582
  0.44131274  0.41148085  0.60585134  0.65097454]
[ 0.29010142]
[ 0.46737729  0.65523666  0.36676662  0.58192303  0.56947218  0.46670403
  0.60988774  0.58539809  0.40292533  0.53806593]
[-0.49087789]
[ 0.46515299  0.49399014  0.54490444  0.55298594  0.37518209  0.57146351
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[-0.26218507]
[ 0.29566302  0.41378793  0.68908339  0.46091571  0.35685427  0.54664118
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[ 0.17612176]
[ 0.51849156  0.59606095  0.33437507  0.50081236  0.63571413  0.30712929
  0.5994136   0.24942612  0.41697385  0.40241979]
[-0.44571385]
[ 0.3862426   0.43855397  0.64900391  0.46353645  0.44468717  0.62516221
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[ 0.0256704]
[ 0.53483413  0.80114081  0.21387167  0.36334328  0.69726595  0.35145606
  0.72378239  0.46779578  0.26257616  0.35255376]
[ 0.11533166]
[ 0.33909086  0.34728306  0.66500051  0.59032647  0.36968034  0.64773685
  0.40536989  0.72483851  0.68237695  0.63933301]
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  0.59651192  0.31711498  0.35119594  0.28169406]
[-1.02451693]
[ 0.47257847  0.59864332  0.56806705  0.46000274  0.46948038  0.46206002
  0.53478654  0.65160594  0.38399547  0.41173613]
[-0.51668269]
[ 0.4585192   0.62552557  0.43293764  0.45915156  0.60251251  0.33909792
  0.68251592  0.63842509  0.39259106  0.47558777]
[-0.74326155]
[ 0.42422738  0.59587074  0.52652763  0.5032416   0.63161465  0.32039761
  0.6099882   0.5925435   0.43289189  0.43627848]
[ 1.88613174]
[ 0.60735415  0.73712762  0.32160107  0.42317002  0.5401432   0.38156357
  0.6122755   0.54868753  0.38977026  0.4509557 ]
[-0.2872004]
[ 0.46319738  0.59635959  0.44119122  0.52513963  0.52410247  0.46287339
  0.52492271  0.5129004   0.48874167  0.53365308]
[-0.14259145]
[ 0.38813089  0.60928344  0.52635597  0.40190188  0.33713385  0.54762257
  0.49411446  0.61038073  0.6248125   0.533399  ]
[ 0.95983436]
[ 0.59792587  0.70374391  0.33036072  0.38743738  0.63457536  0.32550624
  0.54985772  0.40361685  0.37806774  0.51412479]
[-0.89752679]
[ 0.4310636   0.66736561  0.47102367  0.56968812  0.54999667  0.57020927
  0.52356852  0.58736639  0.41280388  0.45488154]
[ 0.92802502]
[ 0.47738373  0.64337502  0.35678294  0.42081377  0.57643024  0.39948444
  0.60098779  0.42868084  0.42268427  0.56449594]
[ 1.2851454]
[ 0.51988441  0.65780137  0.4477613   0.29877027  0.82038877  0.16566339
  0.70283692  0.4657457   0.2790239   0.31194911]
[-0.10827707]
[ 0.31979776  0.58252996  0.56739456  0.35009475  0.46070767  0.44162754
  0.51560521  0.56057128  0.57312625  0.49345389]
[-1.02252195]
[ 0.54413649  0.69290961  0.6307567   0.30174486  0.60357827  0.34191146
  0.60815445  0.55526749  0.29810703  0.37090464]
[ 0.50946926]
[ 0.62288037  0.68125707  0.3114978   0.49295959  0.68282008  0.39355933
  0.62354828  0.36642504  0.37201244  0.4271885 ]
[-0.36057038]
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[-0.95900423]
[ 0.43351134  0.61368376  0.48454851  0.44024133  0.47988796  0.47971449
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[ 1.87057262]
[ 0.60824653  0.68367353  0.31205811  0.31427259  0.77448087  0.1945286
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[ 0.09923779]
[ 0.38124808  0.49130438  0.61616549  0.49555339  0.40173708  0.67475836
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[ 0.1106261]
[ 0.30753282  0.38038263  0.64945984  0.55122266  0.21029826  0.76274395
  0.37286955  0.74859487  0.70000724  0.73900713]
[ 0.21814015]
[ 0.46910571  0.4372301   0.72396161  0.45294366  0.27423199  0.61240972
  0.54461839  0.73863269  0.58206923  0.62741207]
[-0.83629824]
[ 0.58426275  0.79852891  0.306823    0.46727378  0.62409165  0.41644603
  0.64688763  0.44159776  0.28163247  0.33350738]
[-0.13217359]
[ 0.40511732  0.32385768  0.66371449  0.56898963  0.3068731   0.63554109
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[-0.57611951]
[ 0.6823855   0.75690428  0.25468199  0.33038499  0.87380672  0.21516653
  0.71524528  0.21546064  0.29059232  0.17978267]
[ 0.3922513]
[ 0.41318454  0.66209744  0.36268504  0.49883489  0.51730931  0.62407224
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[ 0.01910328]
[ 0.42961105  0.50913372  0.62561084  0.43366031  0.33974562  0.52635188
  0.44214948  0.50956482  0.67071005  0.66530933]
[-0.33643427]
[ 0.31508968  0.40564833  0.74817459  0.37143911  0.40266616  0.5618174
  0.5236032   0.62703178  0.64209152  0.60509564]
[-1.03234204]
[ 0.65899129  0.78065803  0.34848938  0.44114754  0.66409979  0.3717656
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[ 0.5009894   0.68120135  0.52311744  0.32349328  0.50058361  0.39608537
  0.60502642  0.51903378  0.49481159  0.34791473]
[ 1.72775245]
[ 0.32010369  0.47025612  0.68830073  0.48791196  0.3972079   0.63439907
  0.38159999  0.58177491  0.51870917  0.52455295]
[ 2.04909968]
[ 0.43079951  0.64579717  0.55399121  0.44021849  0.4776103   0.39444485
  0.61508321  0.6367873   0.42934943  0.48471833]
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[ 0.49644203  0.4559308   0.56540876  0.50656236  0.45506397  0.32835176
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[ 0.36774384  0.40994011  0.70191997  0.47890093  0.32524375  0.42387696
  0.5333841   0.51736949  0.49589933  0.5057993 ]
[ 0.01366697]
[ 0.44230414  0.38292455  0.60490852  0.50510792  0.33895595  0.40597221
  0.5118925   0.70712074  0.71326909  0.56461952]
[ 0.04411037]
[ 0.51307033  0.56198378  0.45596242  0.48402547  0.70139674  0.45175551
  0.59189732  0.61360176  0.55001269  0.43823708]
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[ 0.62055698]
[ 0.37561603  0.58062292  0.58716705  0.58062307  0.32477114  0.53589926
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  0.64961163  0.48202135  0.397926    0.33936479]
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[ 0.08541509]
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[ 0.69106764]
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[ 0.26202716]
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[ 0.24973475]
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[ 0.46474958]
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[ 0.07534702]
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[ 1.09870852]
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[ 1.65450605]
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[ 1.38771944]
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[ 0.13401478]
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[ 0.12018603]
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[ 0.5817292]
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[ 0.24854215]
[ 0.33521558  0.50943568  0.63051534  0.60456004  0.25112428  0.60015933
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[ 0.56034084  0.49643278  0.57850722  0.3713914   0.64058835  0.47140165
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[ 0.71953108]
[ 0.66719732  0.72876361  0.35758932  0.47831203  0.66260993  0.48187982
  0.54792254  0.40042814  0.37780951  0.38292075]
[-0.49100696]
[ 0.51239614  0.58185168  0.50308808  0.32460117  0.58765146  0.23261817
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[ 0.38975636  0.50507745  0.59652974  0.63748941  0.23156886  0.66308584
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[ 0.30207601  0.30360332  0.68378931  0.52365596  0.33145213  0.61289866
  0.40158538  0.60200332  0.63784209  0.5327547 ]
Progress: 80.3% ... Training loss: 0.598 ... Validation loss: 1.001[ 0.99225358]
[ 0.585097    0.64257442  0.4187165   0.35274044  0.78009418  0.21794015
  0.59093876  0.49201587  0.33012867  0.32648481]
[ 0.09523262]
[ 0.38737992  0.49041316  0.71025845  0.42541535  0.30167943  0.55524361
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  0.6898082   0.55677244  0.38359446  0.58657382]
[-1.60501068]
[ 0.50054955  0.71317555  0.50154624  0.29814372  0.7315249   0.33962159
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[ 0.60037711  0.72612052  0.28298809  0.3821191   0.81438447  0.36041869
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[ 0.48369381]
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[ 0.02281894]
[ 0.32952619  0.39198152  0.66824909  0.4527988   0.3266888   0.43568085
  0.55690383  0.68042181  0.61001247  0.45068469]
[ 0.05857051]
[ 0.46958142  0.54557161  0.48409153  0.5955191   0.49934244  0.47741254
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[ 0.98639983]
[ 0.47049973  0.59729116  0.55687044  0.4475052   0.41227841  0.52821871
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  0.74298028  0.46542395  0.35323099  0.38331713]
[ 1.03974647]
[ 0.44961716  0.54101624  0.51641922  0.4421325   0.57101641  0.57882249
  0.4964163   0.57802097  0.38076569  0.53697626]
[ 3.16564033]
[ 0.43832678  0.68752917  0.4897819   0.31652199  0.65540953  0.33794193
  0.57219426  0.4835411   0.3271514   0.38540865]
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[ 0.17895582]
[ 0.34075939  0.2761394   0.70573893  0.67803758  0.11777232  0.63707091
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  0.6673625   0.68477408  0.41649584  0.66599501]
[ 0.32818945]
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[ 0.05057231]
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[ 0.42925162]
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[ 0.09131147]
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[ 1.70197804]
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[ 0.02853345]
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[ 1.14159468]
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[ 0.85568042]
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[ 0.37341648]
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[ 0.09195968]
[ 0.52609181  0.74986175  0.26377491  0.43416759  0.74997343  0.33984139
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[ 0.70812763  0.69140066  0.37773017  0.43910593  0.63502639  0.40193403
  0.5337498   0.33604012  0.42644098  0.41722331]
[ 3.08009685]
[ 0.49760968  0.63292146  0.52192801  0.35861475  0.56494591  0.47201742
  0.60463572  0.4872579   0.33457401  0.41917427]
[ 0.75284569]
[ 0.68609445  0.78527078  0.26356249  0.31541069  0.8495356   0.27852529
  0.71350183  0.23245752  0.25566785  0.20024695]
[ 0.06229724]
[ 0.33776545  0.55881922  0.47598924  0.4885436   0.51935356  0.52386917
  0.4901245   0.52192568  0.58915052  0.50146771]
[ 0.16379816]
[ 0.38960527  0.52190381  0.65809458  0.37864119  0.44252986  0.38466678
  0.66741081  0.53589025  0.40461131  0.51851786]
Progress: 80.6% ... Training loss: 0.597 ... Validation loss: 1.004[ 0.00674828]
[ 0.40451782  0.53578301  0.5885754   0.42366184  0.25245261  0.63419479
  0.41618395  0.57113818  0.55086574  0.72896485]
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[ 0.93474908]
[ 0.5576799   0.56258903  0.41438891  0.52847374  0.60973669  0.43887923
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[-0.41369607]
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[ 2.5188595]
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[-0.51760689]
[ 0.47336533  0.46487543  0.528136    0.56444374  0.37733404  0.51965053
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[ 0.22544221]
[ 0.42558975  0.64073722  0.53011033  0.4578556   0.62328346  0.35748979
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[ 0.23859701]
[ 0.28008313  0.46162916  0.58523083  0.49744203  0.29720524  0.64580635
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[-0.32125631]
[ 0.38638963  0.44933898  0.54242897  0.54192687  0.45107651  0.47833398
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[-0.93254811]
[ 0.45584348  0.59054252  0.43356902  0.48845117  0.60114065  0.57340428
  0.52274837  0.41630813  0.40301187  0.4146319 ]
[-0.05789484]
[ 0.30688213  0.29997765  0.56571964  0.55874996  0.27218006  0.66693392
  0.51138358  0.56157464  0.57541613  0.70908099]
[ 3.41177461]
[ 0.78196286  0.76894944  0.42191859  0.34355854  0.66783632  0.2329179
  0.66028752  0.45826057  0.20011805  0.2893621 ]
[-0.04375774]
[ 0.52453685  0.70196937  0.26827677  0.53184115  0.67498386  0.34444562
  0.62669845  0.27838919  0.39083714  0.41792057]
[-0.77270195]
[ 0.44641961  0.55012324  0.64420362  0.49527921  0.40968018  0.51762555
  0.45676861  0.37604703  0.46962298  0.47591972]
[-0.34622932]
[ 0.54310585  0.61920004  0.39943661  0.45141543  0.72929274  0.41723313
  0.61342498  0.41170773  0.33197075  0.43731302]
[ 2.05737723]
[ 0.30437856  0.43743013  0.63790823  0.47426293  0.30440389  0.61009315
  0.53223995  0.66787645  0.57188084  0.48208578]
Progress: 80.9% ... Training loss: 0.596 ... Validation loss: 0.999[-0.29427288]
[ 0.69392269  0.77175402  0.35956833  0.40266499  0.68884831  0.27290492
  0.68866258  0.40526745  0.29677519  0.38349224]
[-0.88826121]
[ 0.63770796  0.80134722  0.32957507  0.36427572  0.69708815  0.21231201
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[-0.03851629]
[ 0.48607641  0.69131162  0.52867688  0.4234214   0.51814375  0.34608353
  0.63068142  0.45819229  0.36427059  0.36852169]
[ 0.57880976]
[ 0.54941693  0.57499491  0.6765053   0.42296804  0.49477602  0.40281773
  0.55523815  0.52837807  0.29860279  0.40953387]
[-1.27647551]
[ 0.50942807  0.62345612  0.43334902  0.42854209  0.56636954  0.42809038
  0.61722905  0.47413758  0.40055644  0.43473835]
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  0.6078416   0.6053207   0.33705014  0.51995542]
[-0.62311916]
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  0.47937537  0.60844597  0.47697588  0.52835183]
[-1.18554229]
[ 0.47515909  0.56694325  0.42906156  0.47450735  0.68696516  0.42324612
  0.60871571  0.40626841  0.40123029  0.41392578]
[ 0.57621154]
[ 0.66219313  0.79478719  0.21662685  0.27203413  0.91232059  0.18816963
  0.73823511  0.30473294  0.21854561  0.24882057]
[ 0.70327921]
[ 0.42104619  0.70989464  0.62633163  0.33209117  0.45476665  0.40177464
  0.47411869  0.51757104  0.30510642  0.56967132]
[-0.97770083]
[ 0.43472789  0.43557769  0.5633638   0.39862063  0.50158737  0.399127
  0.61172812  0.47486871  0.44317548  0.42772109]
[ 1.55037082]
[ 0.57412595  0.77578769  0.32076874  0.35022937  0.8614511   0.25891847
  0.63068536  0.46993667  0.31221162  0.29802153]
[-0.57852261]
[ 0.60563118  0.90296148  0.327136    0.41332081  0.7036762   0.36789727
  0.59873529  0.44269617  0.16602054  0.31837453]
[-0.76878418]
[ 0.58233726  0.57555048  0.54630304  0.5573677   0.522713    0.46483357
  0.4449762   0.46198531  0.50254805  0.4613937 ]
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[-0.53223923]
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[-0.60849692]
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[ 0.3782071]
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  0.59354918  0.67804892  0.63011458  0.56498426]
[-0.3057336]
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[-0.87950626]
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[-0.88070136]
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[ 0.01234659]
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[ 0.06947621]
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[ 0.06745927]
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[ 0.41347827]
[ 0.50665904  0.66485873  0.53582576  0.38814265  0.64976513  0.33759761
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[ 0.1826436]
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  0.54461281  0.63770901  0.6195981   0.58393432]
[-0.55728576]
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  0.7067342   0.50539389  0.32632365  0.59666741]
[ 0.22834869]
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  0.45038853  0.52294216  0.5768725   0.51602913]
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[ 0.07247416]
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[ 2.80438887]
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[-0.84998305]
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[-1.40565171]
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[ 0.02058741]
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[-1.07218806]
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[ 0.41934357]
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[ 1.99175512]
[ 0.56815172  0.64230477  0.32995682  0.35416013  0.73027403  0.23024052
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[ 0.7616145]
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[ 0.09922978]
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[ 0.88702241]
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[ 0.31646768]
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[ 0.50163281]
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[ 0.29137243]
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[ 0.05556588]
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[ 0.52092029]
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[ 0.56440332]
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[ 0.52875284]
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[ 0.19978763]
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[ 0.24151325]
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[ 2.36210709]
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[ 0.01592689]
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  0.56274223  0.53994471  0.39112289  0.4503786 ]
[ 1.05170455]
[ 0.69739062  0.78610519  0.34340376  0.3765477   0.73948621  0.30511002
  0.70719638  0.42610601  0.25115689  0.30791   ]
[-0.38485841]
[ 0.43942433  0.65190124  0.59045678  0.47050704  0.50593176  0.49609161
  0.42052514  0.50329087  0.48900881  0.5572153 ]
[-0.25147117]
[ 0.51865983  0.63002559  0.51949707  0.46825101  0.50961218  0.35889433
  0.68538075  0.55902379  0.36591589  0.52361249]
[-0.19730767]
[ 0.38821387  0.41429156  0.65655171  0.56813852  0.36949974  0.52217008
  0.46374511  0.56506344  0.54487025  0.66165025]
[-0.27918357]
[ 0.2730908   0.32833437  0.76754627  0.43281039  0.30849803  0.56312652
  0.60034722  0.57867219  0.58570214  0.60991131]
[-0.5747391]
[ 0.38938869  0.57568988  0.46864926  0.51033093  0.51452412  0.48266307
  0.50932947  0.74373485  0.49843722  0.62082613]
[ 1.02794408]
[ 0.61238571  0.6349544   0.63092844  0.35295399  0.51002715  0.43282584
  0.48789768  0.49766112  0.33372898  0.39104511]
[-0.07669677]
[ 0.44346416  0.52721902  0.57511373  0.43593928  0.46416514  0.33136601
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[-0.58413525]
[ 0.36381575  0.53864207  0.49466963  0.50117734  0.44998225  0.6185167
  0.49241285  0.6967091   0.50568635  0.50072865]
[-0.31000816]
[ 0.37734819  0.48542055  0.59479378  0.33443444  0.58739821  0.58290909
  0.50980776  0.44175066  0.54941809  0.5857898 ]
[ 0.25860606]
[ 0.40196152  0.50736122  0.78160582  0.50340413  0.18678785  0.68330472
  0.37054795  0.67267477  0.5626604   0.72888375]
[ 1.13331547]
[ 0.55992973  0.67944631  0.31454678  0.32932389  0.78172028  0.25811729
  0.71247023  0.42284193  0.27001833  0.35981259]
[-1.06151]
[ 0.55547608  0.47231074  0.63695386  0.36417426  0.57364103  0.35379056
  0.45358343  0.46268795  0.53826321  0.34991617]
[-0.06803828]
[ 0.63808092  0.72114559  0.33272844  0.39936646  0.61733402  0.37044533
  0.67859131  0.58596928  0.36825069  0.45447982]
[-1.00191378]
[ 0.62398378  0.78554944  0.2267159   0.51138747  0.61838404  0.37448064
  0.67354505  0.43262096  0.32385784  0.38467671]
[-0.57757028]
[ 0.62986067  0.43535748  0.58357345  0.57258536  0.35839472  0.50440394
  0.49307877  0.57487171  0.52970313  0.52417325]
[-0.87472606]
[ 0.72121618  0.70952188  0.37288056  0.37199306  0.64629408  0.31394558
  0.59444422  0.28076449  0.37570562  0.44311261]
[-0.57627652]
[ 0.55929648  0.80302827  0.45678945  0.33785936  0.58377781  0.30116223
  0.66084808  0.52930429  0.34997344  0.22223336]
[ 1.01349208]
[ 0.35619219  0.51496079  0.63627401  0.36078541  0.46624578  0.56676944
  0.44890968  0.45203683  0.51317388  0.56643865]
[ 0.01582423]
[ 0.41810994  0.4476848   0.74419101  0.48968227  0.26356372  0.6224605
  0.41917011  0.6210964   0.4989187   0.61219822]
[ 0.11385237]
[ 0.25582904  0.39338667  0.76523446  0.49819131  0.24710789  0.7087546
  0.43622417  0.66588239  0.57239206  0.67802857]
[-0.3147932]
[ 0.62041906  0.71650734  0.41474639  0.35189697  0.60454373  0.37705963
  0.68779138  0.51275691  0.30909031  0.55295664]
[ 1.58601001]
[ 0.70106254  0.66037791  0.45886647  0.46557458  0.70881836  0.32903921
  0.6243817   0.43859638  0.32004408  0.33031929]
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[ 0.62380573  0.78496631  0.29979697  0.37944419  0.78492346  0.3601956
  0.55242705  0.36059299  0.23291693  0.31955206]
[-0.53040739]
[ 0.41849825  0.63675955  0.5832889   0.33924542  0.55768154  0.37315127
  0.65099292  0.65877521  0.41210384  0.37897655]
[ 0.29354906]
[ 0.49933909  0.64086537  0.56859073  0.44338607  0.3184168   0.4946383
  0.5883915   0.61003883  0.47617917  0.55756095]
[ 0.08758935]
[ 0.58992613  0.66657203  0.41119409  0.43172661  0.68424446  0.29055544
  0.54438775  0.5025789   0.36400706  0.39073039]
[ 2.13522646]
[ 0.59813456  0.75164222  0.46750491  0.33739951  0.70207139  0.24140298
  0.72504216  0.51670973  0.2472746   0.35614184]
[-0.42103169]
[ 0.47695299  0.59069778  0.71982949  0.32508766  0.52515048  0.40792939
  0.5575617   0.52127766  0.32717868  0.43985005]
[-0.14725684]
[ 0.31528619  0.44396301  0.72370356  0.44456546  0.24013498  0.59545153
  0.404406    0.60321369  0.71050622  0.58464607]
[-0.77533964]
[ 0.37903799  0.52663684  0.5464801   0.43916376  0.55128106  0.51241635
  0.38996512  0.49526169  0.48200417  0.59010365]
[-0.9907187]
[ 0.46782724  0.47136664  0.54158339  0.452484    0.49115195  0.32271266
  0.57677771  0.47193731  0.42079678  0.54480571]
[ 0.19538708]
[ 0.33957257  0.46773913  0.7245799   0.33711534  0.34538341  0.58822478
  0.48482684  0.54652961  0.61835942  0.6513797 ]
[ 0.14422038]
[ 0.42549089  0.70633742  0.44694294  0.30195989  0.7485587   0.1783397
  0.63721958  0.30111545  0.32761219  0.42797148]
[-0.8440146]
[ 0.54064299  0.58971468  0.57582156  0.51682575  0.4911678   0.51937374
  0.57792473  0.40194139  0.37264848  0.42060837]
[-0.0124025]
[ 0.36169948  0.46252806  0.78301441  0.51308456  0.29981558  0.65785867
  0.32511256  0.501987    0.46724079  0.58064778]
[ 1.21674618]
[ 0.57106229  0.6553319   0.50360188  0.47418235  0.5284629   0.33511412
  0.52251681  0.61550017  0.3934675   0.41575793]
[-0.18072851]
[ 0.4507407   0.64580752  0.45489319  0.59947617  0.28087588  0.66265642
  0.47576827  0.66096038  0.56089317  0.59905527]
Progress: 81.1% ... Training loss: 0.596 ... Validation loss: 1.012[-0.25140198]
[ 0.42863914  0.62621114  0.69316557  0.41095277  0.4908516   0.61235743
  0.45035461  0.64737177  0.57905107  0.59321342]
[ 0.79733056]
[ 0.52830035  0.77863389  0.31544221  0.39243194  0.72228506  0.42094921
  0.60316511  0.36472724  0.20958906  0.44341752]
[ 0.05617323]
[ 0.50674789  0.60153046  0.44437896  0.47171027  0.45016185  0.45321568
  0.59771737  0.5272514   0.4611153   0.46124461]
[-0.27862787]
[ 0.48552663  0.57180066  0.53630173  0.40332888  0.58611462  0.46263129
  0.54254087  0.29929602  0.33187081  0.35335389]
[-0.97548703]
[ 0.45738797  0.54290549  0.57792812  0.37346439  0.51316854  0.44580305
  0.52653501  0.49132297  0.47758644  0.48280745]
[ 0.62794614]
[ 0.37725943  0.59448345  0.68612147  0.37208151  0.4341433   0.56116659
  0.45095681  0.70834927  0.53413802  0.63407025]
[-0.31496957]
[ 0.55895032  0.54909468  0.37333319  0.54161397  0.54779554  0.59779717
  0.48879467  0.38458753  0.52165934  0.42455166]
[-0.13924254]
[ 0.52065361  0.49885387  0.60475701  0.45814908  0.22001966  0.47526996
  0.66279499  0.70179371  0.56660172  0.65395516]
[ 0.91159769]
[ 0.71055288  0.78317849  0.4285355   0.30563183  0.75843478  0.24254446
  0.70690694  0.42525896  0.1863677   0.28698359]
[ 0.88569425]
[ 0.29344327  0.41480993  0.58661934  0.50230666  0.29800552  0.55003821
  0.5580332   0.54759807  0.42562326  0.62823477]
[-0.25266323]
[ 0.58812104  0.67738662  0.41437225  0.31682237  0.72883583  0.32575481
  0.69206789  0.22683615  0.29097113  0.27783422]
[-0.30130955]
[ 0.44894079  0.65848439  0.42500058  0.46794715  0.39859006  0.46514267
  0.60829112  0.55251287  0.44267504  0.41962044]
[-0.30493223]
[ 0.31954469  0.45863211  0.66204337  0.30022826  0.61597603  0.50706093
  0.54271009  0.39104251  0.40351564  0.52489089]
[ 0.52599965]
[ 0.46172058  0.62762064  0.65493086  0.47007972  0.45581532  0.61897749
  0.36121946  0.56784749  0.59515158  0.54732796]
[-0.74878459]
[ 0.41166133  0.58024689  0.42689774  0.51456315  0.50123593  0.63275802
  0.49175434  0.73895304  0.51774668  0.51780103]
[-1.17895765]
[ 0.48863412  0.5476299   0.49916337  0.42939953  0.63018789  0.42169263
  0.62488237  0.31085371  0.40971541  0.25745378]
[-0.71183126]
[ 0.66789613  0.67440563  0.40822267  0.4508488   0.66884967  0.3386171
  0.68685622  0.40995936  0.33318846  0.38291185]
[ 0.96031873]
[ 0.55583504  0.79609826  0.32043398  0.35601441  0.61439748  0.44018931
  0.6534616   0.57692548  0.24825665  0.43899727]
[ 0.37580245]
[ 0.3700727   0.54832868  0.49735282  0.52810463  0.50884258  0.47910533
  0.55780944  0.4409571   0.4456121   0.5470153 ]
[-0.31537707]
[ 0.38188478  0.43978691  0.51267748  0.63595652  0.34509351  0.49559296
  0.61135981  0.74189554  0.56718826  0.509595  ]
[-0.60405934]
[ 0.46368707  0.58151747  0.48063558  0.57371055  0.42531834  0.55046965
  0.6258281   0.68687082  0.48433868  0.63757666]
[-0.24308723]
[ 0.44659949  0.71515308  0.47911169  0.38227056  0.69467414  0.25228959
  0.71262585  0.45453681  0.35701388  0.35634922]
[ 1.65917336]
[ 0.66517906  0.71628343  0.31351471  0.38620724  0.73558855  0.39233264
  0.58895399  0.45046399  0.42258186  0.27178083]
[-0.98119696]
[ 0.4999289   0.73843886  0.67515541  0.33521254  0.47417442  0.38371057
  0.45801323  0.45550263  0.2969708   0.41039173]
[-0.75586438]
[ 0.41134405  0.544525    0.53776042  0.45172998  0.54351003  0.47755712
  0.45195924  0.67507054  0.56880421  0.57315949]
[ 1.65745036]
[ 0.45263145  0.61775056  0.59344627  0.29564186  0.78976343  0.4085933
  0.63073835  0.44878357  0.31808517  0.42702492]
[ 1.19163437]
[ 0.32819349  0.59781799  0.61230483  0.40607182  0.62244771  0.4121981
  0.52882697  0.62949911  0.39318491  0.47339256]
[-0.32065787]
[ 0.61839945  0.762148    0.35672693  0.3514173   0.83745718  0.39953826
  0.5850092   0.31922694  0.30211279  0.20539774]
[ 1.13574361]
[ 0.50019186  0.62647277  0.40191459  0.4563859   0.60584762  0.46477452
  0.48797621  0.51566481  0.48509549  0.48279293]
[ 0.24194448]
[ 0.68383159  0.54502536  0.40337936  0.4128481   0.69360634  0.26094535
  0.54856063  0.42238444  0.41362611  0.39911968]
[-0.79910717]
[ 0.46767526  0.61672028  0.50274696  0.52599413  0.48525333  0.57185944
  0.52505028  0.731057    0.58513132  0.39500726]
[-0.96268792]
[ 0.46733348  0.4703424   0.54197902  0.45318373  0.48988566  0.32322487
  0.57642939  0.47227393  0.42171001  0.54540636]
[ 0.7527831]
[ 0.51858842  0.69642498  0.41298832  0.49442098  0.75026202  0.37689533
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[-0.81838718]
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  0.45149178  0.40616045  0.45587756  0.43360131]
[-0.01791731]
[ 0.4917816   0.68808643  0.46760544  0.39282644  0.70986183  0.43504112
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[-1.03794861]
[ 0.68586936  0.71931503  0.30568272  0.41425814  0.85271221  0.32378015
  0.63956036  0.31991615  0.36392275  0.25326934]
[ 0.82772508]
[ 0.50852684  0.61849252  0.47180063  0.40368112  0.61613873  0.36466181
  0.58507689  0.3974012   0.33804319  0.4036879 ]
[ 0.07879896]
[ 0.39582339  0.61932677  0.39928306  0.5356171   0.31926884  0.54785757
  0.61204891  0.73877151  0.65082739  0.55497865]
[-0.38893208]
[ 0.62108301  0.75487394  0.32474497  0.34341086  0.8060449   0.34176784
  0.69684739  0.25700479  0.25191163  0.3489634 ]
[ 0.3175959]
[ 0.5922182   0.71192144  0.43577001  0.37294602  0.8287084   0.28383411
  0.62967953  0.40568895  0.40032456  0.39993727]
[-0.04670417]
[ 0.52733743  0.67905251  0.59337686  0.4477684   0.41637522  0.52285498
  0.46675411  0.59535882  0.44692662  0.56677623]
[-0.09481093]
[ 0.52079608  0.48422851  0.61044548  0.57056694  0.43521666  0.54438444
  0.40044286  0.53480743  0.50310862  0.4267919 ]
[-0.18201287]
[ 0.43727955  0.5967586   0.52375644  0.44193969  0.40905187  0.35176371
  0.60136667  0.5251744   0.32980857  0.57589652]
[ 0.92301978]
[ 0.50290567  0.57654332  0.43494171  0.48019757  0.49411208  0.48404551
  0.4737885   0.33483323  0.40287713  0.53118819]
[ 1.77114343]
[ 0.61613134  0.81782932  0.36963226  0.28979597  0.75551902  0.24901002
  0.66308167  0.53746187  0.25002703  0.2223802 ]
[ 0.59963619]
[ 0.52410864  0.83665167  0.27041042  0.32818821  0.83282103  0.43270777
  0.57697385  0.36377013  0.22918675  0.36028882]
[-0.20416509]
[ 0.55156799  0.52745362  0.74274769  0.50596761  0.2259764   0.52829016
  0.46521818  0.59424006  0.41608285  0.54377521]
[ 0.36823434]
[ 0.39128939  0.34257197  0.72459601  0.53271716  0.0965755   0.65467154
  0.46018594  0.60447593  0.65487272  0.70257624]
[-0.89077534]
[ 0.4363556   0.51552538  0.6350185   0.37956097  0.56908854  0.45149307
  0.60226251  0.43164329  0.46105227  0.5917272 ]
[-0.65679738]
[ 0.43100253  0.63772989  0.53953189  0.56118791  0.35671601  0.55854905
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[-0.44479105]
[ 0.54538078  0.65925593  0.50695562  0.43740182  0.47703694  0.54411641
  0.6153122   0.68435787  0.62805076  0.53255876]
[-0.44661637]
[ 0.43313176  0.76483456  0.46717201  0.4396089   0.5604135   0.60950809
  0.41648007  0.5944944   0.39862967  0.51863073]
[-0.49756181]
[ 0.54252073  0.6626254   0.33187168  0.53728377  0.60860385  0.50176086
  0.63002578  0.29630826  0.37932266  0.32975584]
[-0.44224834]
[ 0.45567233  0.62604089  0.44350924  0.37935486  0.68555955  0.23556256
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[-0.09425169]
[ 0.36612741  0.52629015  0.59044376  0.57196704  0.2973004   0.53994704
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[-0.53390234]
[ 0.38055311  0.51668364  0.70775203  0.4640128   0.32711394  0.52100196
  0.50686643  0.6183764   0.46169912  0.39602777]
[-0.19342243]
[ 0.35161459  0.43210423  0.60068038  0.55494878  0.45683055  0.52102744
  0.47931271  0.66583442  0.5387597   0.52482321]
[-0.32638849]
[ 0.52219669  0.69593126  0.33290675  0.34275242  0.77497886  0.38683527
  0.74172557  0.25862827  0.29472919  0.31474305]
[ 2.12640618]
[ 0.45269529  0.68325659  0.59501625  0.49049631  0.43113895  0.45118826
  0.55013138  0.60260008  0.31683091  0.33013385]
[ 1.05988243]
[ 0.42976481  0.68819593  0.4583461   0.39958263  0.52838479  0.40820291
  0.56813222  0.50336653  0.42101129  0.50376112]
[ 2.71503894]
[ 0.51039798  0.55246602  0.53305863  0.36688794  0.71357121  0.44363119
  0.6270385   0.4245854   0.38868261  0.308968  ]
[-0.08623662]
[ 0.46497075  0.55068061  0.52321423  0.51966801  0.4026672   0.40427942
  0.58786867  0.58989285  0.53036494  0.52209162]
[ 1.69637204]
[ 0.57064325  0.58164047  0.48821108  0.55576259  0.29985815  0.4949478
  0.60495979  0.53203708  0.39270674  0.55469932]
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[ 0.55712977  0.45892353  0.67506384  0.50962716  0.23280035  0.51834876
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[-0.17863408]
[ 0.35650859  0.37603524  0.59186766  0.51141142  0.28520434  0.5383508
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[ 0.29186631]
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[ 0.15037498]
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[ 1.51705923]
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[ 2.68230585]
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[ 0.06347151]
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[ 0.23995565]
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[ 0.7400008]
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[ 1.01069042]
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[ 0.02266878]
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[ 0.10638772]
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[ 0.43212461]
[ 0.33230116  0.41310881  0.63047748  0.64964957  0.18159323  0.6512335
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[ 0.40030605  0.6372949   0.49076787  0.39723875  0.54700505  0.51933502
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[ 0.3766384]
[ 0.43993111  0.56778326  0.58239194  0.44544083  0.41576849  0.53883304
  0.50030212  0.57874512  0.63742694  0.39751578]
Progress: 81.4% ... Training loss: 0.595 ... Validation loss: 0.999[-1.37356629]
[ 0.69180301  0.7024663   0.40291432  0.44267244  0.6669005   0.42520012
  0.59401485  0.31161464  0.36600211  0.38944859]
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[ 0.98818216]
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[ 0.46806687]
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[ 0.09570654]
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[ 0.02969801]
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[ 0.91402742]
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[ 1.13755547]
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[ 0.49268953]
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[ 0.1243907]
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[ 0.37804193]
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[ 0.14023063]
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[ 0.25260766]
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[ 0.24430192]
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[ 0.26789362]
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[ 1.09631965]
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[ 0.14085789]
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[ 0.50253369]
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[ 1.30126342]
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[ 0.08620754]
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[ 2.28919696]
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[ 1.06651969]
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[ 0.40679163]
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[ 0.40343004]
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[ 1.98398887]
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[ 1.78320617]
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[ 0.01002427]
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[ 0.03913373]
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[ 0.1015045]
[ 0.25176161  0.51216066  0.78722972  0.34571082  0.46871476  0.63854725
  0.41770118  0.51046414  0.46098985  0.62554911]
[ 1.35860277]
[ 0.55270664  0.58548066  0.4690421   0.57152763  0.53256295  0.44281663
  0.58112686  0.4818577   0.47060132  0.38152896]
[-0.08367022]
[ 0.50545998  0.58504149  0.50777577  0.41054677  0.56519282  0.41450698
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[-0.16218064]
[ 0.39503089  0.49241261  0.59541413  0.381251    0.32776253  0.44918281
  0.45896485  0.56388001  0.61383925  0.68170752]
[-0.41191339]
[ 0.56565288  0.52847045  0.60431095  0.41659036  0.44616263  0.50312497
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[-0.19833589]
[ 0.52953843  0.63394435  0.5328285   0.54226572  0.43986249  0.54395327
  0.47248937  0.43538775  0.36505794  0.471748  ]
Progress: 81.7% ... Training loss: 0.595 ... Validation loss: 1.014[-0.38537112]
[ 0.53025966  0.66748784  0.58038496  0.42079837  0.40293618  0.51726139
  0.45742397  0.53354819  0.44762301  0.51871288]
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[ 1.06638672]
[ 0.49305285  0.63746281  0.40722222  0.40657099  0.70857885  0.38507961
  0.54358827  0.56964539  0.44341494  0.4785665 ]
[ 0.55157782]
[ 0.43526798  0.46451073  0.61392185  0.48038573  0.31962974  0.50396579
  0.53310802  0.51423889  0.44379158  0.39556178]
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[ 0.08296917]
[ 0.24591901  0.22119663  0.73579331  0.48846719  0.30466233  0.47239664
  0.46277919  0.54250626  0.60628982  0.62970006]
[ 0.73600751]
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  0.55046566  0.48272808  0.49376375  0.47074041]
[ 0.63714261]
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  0.51267238  0.30311207  0.4450616   0.44961415]
[-0.27702407]
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[-0.06185909]
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[ 0.06458743]
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[ 0.10484535]
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[ 0.76910465]
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  0.56292623  0.54105912  0.30436901  0.42791505]
[-0.21896003]
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[-0.81958811]
[ 0.46911562  0.52519273  0.43049075  0.52772941  0.43541936  0.49125069
  0.54998919  0.46588623  0.47970276  0.46511643]
[-0.13895475]
[ 0.34162284  0.45488773  0.6105496   0.54889764  0.3138792   0.68942941
  0.44035352  0.69242785  0.62010265  0.63253076]
[ 0.83531405]
[ 0.42408082  0.45378757  0.67972603  0.46684596  0.29359663  0.51461072
  0.3625385   0.4646877   0.50105708  0.64153311]
[ 1.1120406]
[ 0.47977471  0.55218737  0.50741962  0.37027547  0.60006714  0.36363639
  0.50406843  0.22680143  0.39562214  0.43303852]
[ 1.4852071]
[ 0.47748182  0.75461218  0.30457891  0.33176742  0.69818106  0.39390096
  0.64849744  0.5960146   0.32480526  0.41475844]
[-0.32603821]
[ 0.31403161  0.50607588  0.56515702  0.59059659  0.30034762  0.47601655
  0.61687776  0.77437108  0.5205225   0.50267324]
[-0.12404307]
[ 0.37490574  0.45166601  0.60400586  0.39100347  0.48391542  0.55123139
  0.36053975  0.55104596  0.4803422   0.6074877 ]
Progress: 82.0% ... Training loss: 0.594 ... Validation loss: 1.012[ 0.07192881]
[ 0.45549623  0.47752041  0.57987288  0.40883331  0.53328921  0.36267151
  0.67430507  0.58296534  0.43479402  0.6106262 ]
[-1.04221924]
[ 0.58852113  0.53997144  0.45486339  0.46865072  0.64062316  0.55231
  0.57956785  0.51589763  0.52160056  0.46285265]
[-1.25774169]
[ 0.49137623  0.69119347  0.59441322  0.37226671  0.59129028  0.38801286
  0.55225563  0.49933087  0.36054631  0.31074412]
[ 0.21828719]
[ 0.44655924  0.47602332  0.631756    0.54750703  0.17987178  0.65950608
  0.44069949  0.61362967  0.6626529   0.70631701]
[-0.86230512]
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[ 0.43307459  0.45036981  0.673853    0.36009378  0.54913689  0.51310826
  0.42979134  0.51525593  0.60692657  0.65301897]
[ 0.50578428]
[ 0.27263505  0.32763535  0.65789188  0.45968466  0.25025866  0.60798144
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[ 0.27314781]
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[ 2.19607878]
[ 0.66176497  0.65137433  0.53287939  0.34028603  0.54440033  0.35366151
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[ 0.01057665]
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[ 0.19178723]
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[ 0.18689278]
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[ 0.22612928]
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[ 0.08818792]
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[ 0.47441952]
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[ 0.3562503]
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[ 0.86935916]
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[ 1.32018717]
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[ 1.33894242]
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[ 0.62273262]
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[ 0.29062032]
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[ 0.59795463]
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[ 1.694717]
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[ 0.18427025]
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[ 0.05244781]
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[ 0.25289395]
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[ 0.01894099]
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[ 0.01468106]
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[ 0.17473123]
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[ 0.30123959]
[ 0.39156645  0.64869736  0.49928325  0.39842726  0.60140895  0.3905547
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[ 0.60067716  0.66211814  0.56210003  0.45853962  0.43283183  0.40589921
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[ 0.54117569  0.63054094  0.47162801  0.35119043  0.67332367  0.30450659
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[ 0.50578115  0.7398742   0.41757397  0.27591407  0.54278981  0.30843196
  0.59495876  0.4716434   0.44270315  0.55508347]
Progress: 82.3% ... Training loss: 0.595 ... Validation loss: 1.022[-1.16304213]
[ 0.45284328  0.67838778  0.49114769  0.35948799  0.63349411  0.36658389
  0.50826953  0.58930456  0.49657976  0.499374  ]
[-1.45060239]
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[ 0.34254988]
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[ 0.42514746]
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[ 0.53543514]
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[ 0.35869566]
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[ 1.28964005]
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[ 0.55779369]
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[ 0.29704277]
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[  1.06893184e-05]
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[ 1.34458587]
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[ 0.7713883]
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[ 2.5498805]
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[ 0.12060883]
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[ 0.47917804]
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[ 0.19545361]
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[ 0.20107775]
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[ 0.09668837]
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[ 0.48795321]
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[ 0.34739086]
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[ 0.19435027]
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[ 0.38230542]
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[ 1.83487711]
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[ 0.64203697]
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[ 0.01263593]
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[ 1.44867883]
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[ 0.52250155]
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[ 2.48526793]
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[ 0.38132827]
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[ 0.42590371]
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[ 0.09637776]
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[ 0.15012567]
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[ 0.12698142]
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[ 0.44577022]
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[ 0.2250296]
[ 0.44691761  0.48665801  0.57912693  0.43986745  0.49823954  0.46547486
  0.50625333  0.50894453  0.56871126  0.35662931]
[ 0.24302749]
[ 0.39371657  0.49813616  0.64596163  0.49627882  0.36904233  0.5657978
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[ 0.43529356  0.52776216  0.56547381  0.43069086  0.31786889  0.37193721
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[ 0.44997037]
[ 0.45740781  0.66330301  0.49179951  0.38928089  0.71346183  0.46738684
  0.47244797  0.53327906  0.4848808   0.51101186]
Progress: 82.6% ... Training loss: 0.596 ... Validation loss: 1.035[ 0.63339576]
[ 0.66384726  0.67014872  0.36929236  0.43128698  0.6518471   0.48606104
  0.55507714  0.43788825  0.46756014  0.33633099]
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[ 0.42128946]
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[ 1.5144291]
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[ 1.01847348]
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[ 1.47874864]
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[ 0.65657588]
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[ 1.03986954]
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[ 0.79096567]
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[ 0.77773317]
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[ 0.75998961]
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[ 1.03124556]
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[ 1.20837257]
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[ 0.16760876]
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[ 0.27454994]
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[ 0.89798929]
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[ 0.31731542]
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[ 0.10404065]
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[ 0.63700062]
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[ 0.022932]
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[ 1.45016301]
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[ 1.20991686]
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[ 0.01815142]
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[ 0.18491301]
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[ 1.11717777]
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[ 1.74526554]
[ 0.48469828  0.62963118  0.72733459  0.33760349  0.37028265  0.40439212
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[ 0.48315582  0.56217078  0.71097111  0.35326813  0.50989703  0.398967
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[ 0.03933523]
[ 0.32119729  0.33335385  0.71410578  0.47026056  0.20876681  0.54685044
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[ 1.00754676]
[ 0.63864694  0.74985416  0.33269921  0.35408062  0.81472557  0.29847525
  0.61536276  0.28541586  0.3343728   0.30084665]
Progress: 82.9% ... Training loss: 0.593 ... Validation loss: 1.011[ 0.26041271]
[ 0.48911674  0.61608786  0.52110388  0.41355495  0.38101817  0.60379507
  0.47555901  0.6352515   0.43272161  0.620856  ]
[ 0.31884055]
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  0.64557299  0.51762877  0.34313566  0.44795245]
[ 0.53788935]
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[ 0.16424504]
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[ 2.9569989]
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[ 0.09472335]
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[ 1.13632694]
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[ 2.31242451]
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[ 0.03549144]
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[ 1.2260072]
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[ 1.71987301]
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[ 2.05980398]
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[ 0.24405699]
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[ 0.21499247]
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[ 2.62006633]
[ 0.43826294  0.49900168  0.66294601  0.3033514   0.54998528  0.43522799
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[ 0.84804895]
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[ 1.55072879]
[ 0.49525284  0.57417021  0.51953184  0.4065597   0.61816004  0.40824936
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[ 0.51906864  0.63403052  0.5662562   0.36956666  0.42308413  0.37677444
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[ 0.30803639  0.41301426  0.5713613   0.52594499  0.37291043  0.54370125
  0.46713603  0.58628776  0.58919031  0.65107171]
[ 0.8455959]
[ 0.48456703  0.56607052  0.47012178  0.39396215  0.60877184  0.36610401
  0.50639419  0.58181198  0.48356569  0.49098646]
[-0.16690661]
[ 0.38131662  0.5316056   0.74392291  0.47298128  0.29999671  0.63138297
  0.44917956  0.71633926  0.56214169  0.61063799]
[-0.5077004]
[ 0.61915856  0.63602916  0.54164157  0.41327194  0.60103941  0.3205063
  0.63665312  0.45231847  0.31744354  0.29539324]
[ 0.62726351]
[ 0.28322026  0.5014424   0.70049762  0.32558647  0.4075565   0.48213413
  0.52678245  0.47617673  0.5971338   0.64454488]
Progress: 83.1% ... Training loss: 0.593 ... Validation loss: 1.004[ 0.12501522]
[ 0.39360381  0.36670893  0.64580537  0.45483506  0.34757194  0.44510706
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[-0.49443745]
[ 0.55523174  0.69506852  0.48970905  0.52116336  0.45765762  0.53245985
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[-0.3927274]
[ 0.63455587  0.59130497  0.49660454  0.4397405   0.4647517   0.47675301
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[ 1.1757058]
[ 0.30858681  0.41902936  0.64297843  0.55299021  0.27845874  0.66365899
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[ 1.6133291]
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[ 1.23670965]
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[ 0.73953282]
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[ 0.59388583]
[ 0.59293129  0.53965316  0.37922308  0.4556655   0.61544514  0.31451528
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[ 1.79559491]
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[ 0.09337573]
[ 0.3635087   0.58291734  0.49413722  0.5733168   0.3242897   0.48598463
  0.58674661  0.7230356   0.51660755  0.56480487]
[ 0.31856521]
[ 0.47735225  0.57209993  0.55085388  0.43272098  0.55475311  0.46823531
  0.50550017  0.33283767  0.35675396  0.40568076]
[ 1.82513232]
[ 0.60440288  0.73986448  0.41601788  0.40093438  0.71379961  0.42761647
  0.57045794  0.35056233  0.30700471  0.34146913]
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[ 0.33223057  0.64033824  0.51935491  0.57909216  0.22886106  0.48507837
  0.50411762  0.75603539  0.58195979  0.68376947]
[ 0.15944091]
[ 0.36128294  0.40765587  0.78950194  0.4514544   0.21801875  0.47387136
  0.39227999  0.56071231  0.59067433  0.591049  ]
[ 0.61986642]
[ 0.71353391  0.72447471  0.40916744  0.29156781  0.87560994  0.23935433
  0.67245034  0.40995647  0.33325966  0.24177898]
[-1.14501728]
[ 0.43465299  0.52533606  0.50443777  0.43339382  0.62746983  0.40107055
  0.55497727  0.2603455   0.34863392  0.38302171]
[-0.40746162]
[ 0.56956132  0.70439464  0.29180824  0.43173595  0.73894802  0.51280265
  0.61713676  0.43663311  0.41264243  0.44394395]
Progress: 83.4% ... Training loss: 0.593 ... Validation loss: 0.992[-0.59739197]
[ 0.67046668  0.77073612  0.26353734  0.28663078  0.86900852  0.27430488
  0.72796584  0.18920916  0.22386164  0.2430711 ]
[-0.27983525]
[ 0.61798448  0.38833132  0.57800782  0.53466053  0.31006556  0.41701013
  0.51172279  0.4477888   0.54154662  0.47754725]
[ 0.01983824]
[ 0.5067115   0.69817394  0.38483965  0.33454054  0.630974    0.42747818
  0.64445622  0.5270093   0.40191816  0.43385328]
[-0.32801167]
[ 0.40943843  0.51530245  0.66459121  0.65378113  0.26001739  0.65163325
  0.42350385  0.60904648  0.47324986  0.56979599]
[ 0.33019067]
[ 0.40962632  0.37094897  0.71281704  0.54021056  0.12640423  0.63005097
  0.49066425  0.63708855  0.63183613  0.71620522]
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[ 0.36797884  0.54406595  0.7468327   0.52999845  0.24492621  0.67642089
  0.32435968  0.53167621  0.46246763  0.62110662]
[ 0.19051098]
[ 0.39135989  0.43402037  0.66789575  0.35869755  0.37269602  0.35468475
  0.5524779   0.3858007   0.4386683   0.59934064]
[ 0.12749053]
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  0.37422781  0.50469232  0.51515128  0.60097659]
[-0.01496682]
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[-0.11110562]
[ 0.5786933   0.83145333  0.2850444   0.33972314  0.82296368  0.35263606
  0.57143679  0.50709066  0.38756457  0.41969141]
[ 0.29498347]
[ 0.57391889  0.67341953  0.52478581  0.40475469  0.459921    0.5126196
  0.45494099  0.49296893  0.45680227  0.60274459]
[-0.34798571]
[ 0.60904052  0.65647326  0.52516675  0.43570979  0.49120231  0.39248256
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[ 0.41907937]
[ 0.70530535  0.74139911  0.31499066  0.4377583   0.72944312  0.36873577
  0.6121449   0.4465708   0.3001405   0.36053463]
[ 0.00241047]
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[-1.15792068]
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[ 0.49415636]
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[ 0.20828028]
[ 0.34520209  0.63306795  0.49995547  0.54898279  0.43448822  0.40082009
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[ 1.34973025]
[ 0.37797838  0.38174508  0.73206519  0.53142907  0.17412878  0.67399542
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[ 0.8054261]
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[ 1.01052429]
[ 0.57931268  0.57093492  0.38987878  0.50493849  0.61080686  0.4631529
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[-1.13273481]
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  0.58549062  0.54155336  0.356298    0.47693188]
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[ 0.4740007   0.64399311  0.48066832  0.40545491  0.77340699  0.28369147
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[ 0.09773639]
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  0.48900102  0.37699581  0.41513533  0.40797474]
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[ 2.64794753]
[ 0.55274455  0.75827702  0.36546825  0.27417634  0.75105262  0.38564756
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[-1.05011778]
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[ 0.88187442]
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[ 0.36130267]
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[ 0.47078063]
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[ 0.75413379]
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[ 0.66163004]
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[ 1.13128679]
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[ 0.48602209  0.65860508  0.36434878  0.47306396  0.562783    0.41153928
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[ 0.11110518]
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[ 0.1697345]
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[ 0.81864758]
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[ 0.09418056]
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[ 0.21751066]
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[ 0.71822111]
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[ 0.25069157]
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[ 0.31128363]
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[ 0.15125658]
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[ 0.84145231]
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[ 0.38138131]
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[ 1.63541819]
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[ 1.5185824]
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[ 0.37796871]
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[ 1.55034194]
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[ 0.01300483]
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[ 1.04508804]
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[ 1.61601147]
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[ 0.13653914]
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[ 0.3717694]
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[ 2.82823958]
[ 0.51793285  0.53367541  0.58313762  0.44811252  0.45334571  0.39113946
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[ 1.70222082]
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[ 1.00159559]
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  0.55736733  0.68205751  0.48171933  0.71300232]
[ 0.65922383]
[ 0.26341853  0.48344009  0.56020504  0.44280089  0.35718095  0.58805268
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[ 0.35499267]
[ 0.36992088  0.54775281  0.49735393  0.5282399   0.50827225  0.47917831
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[ 0.21199877]
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[ 0.2500235]
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  0.51565875  0.64606682  0.63517191  0.65310341]
[ 0.17509879]
[ 0.48408578  0.55952028  0.56151984  0.53216172  0.31206967  0.46594719
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[ 0.29444185]
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[ 0.85371301]
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[ 0.48685111  0.64063323  0.51953124  0.42066018  0.55916017  0.35703053
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[ 1.44096432]
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[ 0.22000624]
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[ 0.42652345]
[ 0.65003424  0.70348024  0.3627436   0.45687176  0.60581433  0.33269151
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[ 0.21850523]
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[ 0.73573891]
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[ 1.10761898]
[ 0.34150281  0.28382298  0.59321283  0.48560278  0.31039929  0.4423802
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[ 0.71741564]
[ 0.28482862  0.29269276  0.72352156  0.43381073  0.35303286  0.44439081
  0.64531765  0.63798952  0.48770674  0.67391533]
[ 0.2489508]
[ 0.32454014  0.34483197  0.73427559  0.42631845  0.16956082  0.62267713
  0.47669023  0.75308169  0.69867415  0.73663729]
[ 0.38233744]
[ 0.41204695  0.44287653  0.61651506  0.46323456  0.27883684  0.62724323
  0.48794184  0.64299884  0.69182522  0.73170401]
[ 0.02610803]
[ 0.43652374  0.55155715  0.41103972  0.62033068  0.36105403  0.5156177
  0.58312299  0.6498253   0.54076848  0.60192121]
[-0.67252627]
[ 0.57062625  0.75062886  0.39928682  0.38456405  0.69123845  0.39352124
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[-0.54014468]
[ 0.63292791  0.61694119  0.5401338   0.46948761  0.3490113   0.42598582
  0.57482801  0.46529001  0.36686557  0.56502828]
Progress: 83.7% ... Training loss: 0.592 ... Validation loss: 0.989[-0.45673859]
[ 0.34562192  0.50502711  0.57554885  0.49767588  0.30848366  0.3711632
  0.6946932   0.79115116  0.48625425  0.62058813]
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[ 0.03016617]
[ 0.63719015  0.74303766  0.38794196  0.51567062  0.60881579  0.43626012
  0.5869322   0.46085063  0.3812136   0.44011966]
[ 0.03513713]
[ 0.30490103  0.37443664  0.75231628  0.47167673  0.24103379  0.49215137
  0.4935015   0.62426184  0.62702282  0.57367531]
[ 1.00944855]
[ 0.51432826  0.57415695  0.51088648  0.4849659   0.57333219  0.49926697
  0.46822809  0.49045346  0.40192644  0.49673783]
[ 1.54733842]
[ 0.75863325  0.72569898  0.41222754  0.44727443  0.553806    0.44233846
  0.60935062  0.42732638  0.28173217  0.39694689]
[-0.35291636]
[ 0.5245833   0.56505791  0.40815513  0.61213008  0.61500545  0.45701573
  0.60984318  0.3998432   0.43735831  0.39916303]
[-0.84930879]
[ 0.62261701  0.55988433  0.47027965  0.57030065  0.48056189  0.54793277
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[-0.89735906]
[ 0.34208925  0.45565239  0.63255722  0.30233978  0.60043088  0.44137819
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[ 0.67494542  0.75503667  0.29871155  0.28657422  0.88110515  0.25848327
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[-0.84571725]
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  0.69814621  0.53899659  0.38127135  0.50808901]
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[ 0.66688055  0.76056342  0.37764154  0.31387164  0.84923525  0.28194842
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[-0.38975641]
[ 0.38563956  0.48263349  0.43381245  0.4938514   0.44195547  0.3954459
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[-0.55256804]
[ 0.42375075  0.69295433  0.38105396  0.37078341  0.44165918  0.44822168
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[ 1.06626657]
[ 0.48499269  0.58235915  0.41261839  0.4438445   0.46618909  0.32960212
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[-0.23054287]
[ 0.25473863  0.31767683  0.65387232  0.44902284  0.35726981  0.64570894
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[ 0.80582602]
[ 0.53323425  0.61954707  0.4758145   0.41749026  0.5610025   0.53749776
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[-0.16663656]
[ 0.57718224  0.44676886  0.59613687  0.46616814  0.41364735  0.35449163
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[ 1.93081519]
[ 0.65959071  0.73689327  0.35821823  0.23639581  0.80727548  0.13777311
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[-0.56347985]
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[-0.54088848]
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[ 0.49566409  0.67441647  0.63611246  0.34773814  0.55609398  0.39412484
  0.45222353  0.42596882  0.31197425  0.35518475]
[ 0.21038184]
[ 0.38420093  0.3578478   0.72347477  0.40538634  0.39849587  0.57148802
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[ 0.24755813]
[ 0.60078173  0.71073054  0.49850515  0.3910327   0.53134634  0.38949954
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[-0.77617645]
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[ 0.10291801]
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[ 0.28408014]
[ 0.58487792  0.5784086   0.33016971  0.50415178  0.53690643  0.33181833
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[ 0.48143789]
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[ 0.0072303]
[ 0.43313766  0.56761023  0.57249513  0.45003593  0.41634764  0.41518609
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[ 0.76291119]
[ 0.38842799  0.38055965  0.57467551  0.49279333  0.35667053  0.40297724
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[ 0.52049614  0.60554441  0.39991616  0.47674625  0.60784454  0.46095251
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[ 1.12388956]
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[ 0.25530057]
[ 0.57978804  0.62959929  0.33383095  0.40770025  0.53488448  0.39527089
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[ 0.22861432]
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[ 0.01854255]
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[ 2.55576922]
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[ 0.07965526]
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[ 0.62382258]
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[ 1.03814658]
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[ 0.54045298]
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[ 0.21636214]
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[ 1.55118158]
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[ 1.07191596]
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[ 0.1336847]
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[ 0.03142823]
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[ 0.1614785]
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[ 0.06123602]
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[ 2.48978326]
[ 0.66562706  0.72380405  0.42658797  0.31143794  0.7890204   0.3155463
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[ 0.38804864  0.58508634  0.61796215  0.33640764  0.32219135  0.54409269
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[-1.35194722]
[ 0.45962611  0.6663767   0.42565259  0.46253365  0.65206101  0.3834581
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[-0.41821611]
[ 0.64310016  0.61148976  0.45653466  0.32715839  0.7769259   0.29266289
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[ 0.45243025  0.54861316  0.54713473  0.52378373  0.3816784   0.46224548
  0.56351263  0.36383555  0.40895238  0.43819409]
Progress: 84.0% ... Training loss: 0.591 ... Validation loss: 1.006[-0.3337571]
[ 0.4587115   0.4711879   0.5712359   0.46969196  0.30483319  0.57576946
  0.47779108  0.64198292  0.67826866  0.63099474]
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[ 0.07729457]
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[ 0.74149729]
[ 0.45874121  0.48016797  0.44232595  0.57983113  0.51685587  0.37586616
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[ 0.34781784]
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[ 0.36063715]
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[ 0.22421316]
[ 0.53926244  0.58317714  0.41886644  0.40804937  0.7234835   0.3034605
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[ 0.06811137]
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  0.53743185  0.64367382  0.57579057  0.61456549]
[ 0.49368491]
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  0.43336942  0.70994089  0.57140796  0.6725931 ]
[ 0.13404348]
[ 0.28732656  0.33480114  0.71371019  0.51510154  0.33947981  0.57193123
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[ 0.10799048]
[ 0.34965878  0.41117849  0.81907284  0.53622508  0.11133355  0.65088342
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[ 0.06272333]
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[ 0.40285979]
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[ 0.15005776]
[ 0.55154451  0.64089457  0.57715552  0.51334969  0.30525596  0.54305246
  0.5429854   0.71945055  0.49719888  0.49073476]
[ 3.01445522]
[ 0.51319015  0.76003627  0.31930472  0.27400884  0.8294998   0.33671363
  0.61236907  0.44646079  0.27543401  0.33802357]
[ 0.36215198]
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  0.48180571  0.68773544  0.66009512  0.61943608]
[ 0.43542424]
[ 0.37485194  0.49980404  0.60330879  0.55371796  0.25052477  0.60559551
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[ 0.96711029]
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[ 0.97080982]
[ 0.68043234  0.71715255  0.35692591  0.4098066   0.80263474  0.27319877
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[ 0.03464615]
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[-0.33192833]
[ 0.49647423  0.70701592  0.50935642  0.33837872  0.534755    0.38819463
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[-0.85018813]
[ 0.63972326  0.6471101   0.31050639  0.4782386   0.66951943  0.45952694
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[ 2.21161573]
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[ 0.9396199]
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[ 0.35591712]
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[ 1.20664652]
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[ 0.44304254]
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[ 2.40553248]
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[ 0.0209047]
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[ 0.01269011]
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[ 0.80438238]
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[ 0.43329844  0.50014361  0.61376439  0.59786602  0.37252035  0.61022085
  0.48626647  0.63794723  0.43973333  0.48362441]
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[ 0.5037454   0.72857559  0.56262833  0.35133486  0.412982    0.41337607
  0.59697411  0.52714324  0.31979805  0.43438526]
[ 0.51508567]
[ 0.54411193  0.65442686  0.39706241  0.41220657  0.78612227  0.2588061
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[ 0.30327176  0.48479662  0.61987057  0.39921316  0.51601353  0.48405824
  0.57392566  0.41759601  0.33754168  0.49027915]
Progress: 84.3% ... Training loss: 0.591 ... Validation loss: 1.002[ 0.51242051]
[ 0.55773968  0.7078762   0.64591402  0.37042989  0.40343546  0.4069881
  0.50360611  0.55136865  0.31335172  0.49630636]
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  0.53855315  0.69582272  0.50258985  0.50235167]
[ 0.04747481]
[ 0.5240574   0.61057489  0.43443284  0.34497066  0.58410832  0.29748784
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[ 1.17405464]
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[ 0.04932806]
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[ 0.10439268]
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[ 0.60985725]
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[ 0.06399074]
[ 0.50922482  0.54172749  0.62151766  0.5353501   0.45917451  0.45454221
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[ 0.5172095   0.68823876  0.32651944  0.34531128  0.75669409  0.29118247
  0.59104667  0.55859889  0.35341448  0.41189239]
[-0.47278471]
[ 0.41533688  0.57887661  0.48264364  0.64990794  0.26476128  0.5689659
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[-0.58453899]
[ 0.55898865  0.56763363  0.54754244  0.53663799  0.34184476  0.55200867
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[ 0.5511747]
[ 0.33119247  0.36109974  0.74178245  0.47625114  0.20077452  0.46022673
  0.60212449  0.66925856  0.4535039   0.62000906]
Progress: 84.6% ... Training loss: 0.591 ... Validation loss: 1.007[-0.0201735]
[ 0.41623981  0.83142682  0.35703146  0.43080616  0.62378671  0.45776526
  0.63941231  0.52358658  0.31174605  0.34293325]
[-0.50884462]
[ 0.31863068  0.35375648  0.50573658  0.44717282  0.46671253  0.5672693
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[-0.36746506]
[ 0.30872469  0.43490564  0.60791617  0.47585506  0.47220673  0.6712166
  0.38127107  0.60183849  0.5458685   0.59875014]
[ 0.12068767]
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[ 0.41188712  0.51369682  0.6325003   0.41472332  0.43397602  0.4699876
  0.3666498   0.50488011  0.50264639  0.62722115]
[ 2.0071393]
[ 0.44341688  0.58080975  0.42887177  0.30861548  0.74096896  0.27618249
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[-1.39966547]
[ 0.47183996  0.66985543  0.4854241   0.40161569  0.71570279  0.36121693
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[ 0.6449314   0.66334778  0.36097766  0.41239512  0.70466764  0.44709148
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[ 2.24090572]
[ 0.58196566  0.8740542   0.34118643  0.27325159  0.81026282  0.21380988
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[ 0.40292743]
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[ 2.45014392]
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[ 0.43070174]
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  0.39183707  0.55675886  0.57040382  0.57362183]
[ 0.0897199]
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[ 0.2932516]
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[ 1.06011808]
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[ 0.35390909]
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[ 0.256426]
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[ 2.5655887]
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[ 0.47525585]
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[ 1.35521943]
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[ 1.008408]
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[ 0.47468236]
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[ 0.02535701]
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[ 0.26651734]
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[ 0.22420276]
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[ 1.24939519]
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[ 0.10051527]
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[ 1.26428482]
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[ 0.23359956]
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[ 1.30006113]
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[ 0.66828967]
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[ 0.39725506]
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[ 2.34484167]
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[ 1.09286023]
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[ 0.02806798]
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[ 3.02437847]
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[ 0.87424996]
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[ 0.29923168]
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[ 1.27464268]
[ 0.38151701  0.53116397  0.67653912  0.49522683  0.31218196  0.60908367
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[ 2.19872274]
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[ 0.14636427]
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[ 0.62891491]
[ 0.56183825  0.60751783  0.50228063  0.34671883  0.76037493  0.43399975
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[ 0.8748066]
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[ 2.93232071]
[ 0.631213    0.72649183  0.37703895  0.32934815  0.70531023  0.27200587
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[ 2.48121485]
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[ 0.00825265]
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[ 1.86227752]
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[ 0.33127556]
[ 0.56529526  0.67623735  0.4105808   0.55415515  0.42053841  0.42462206
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[ 0.42265107  0.73963867  0.4056836   0.40917683  0.54188059  0.55358729
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[ 0.53756781  0.57812807  0.39656993  0.49656945  0.5090898   0.37996886
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[ 0.35375662]
[ 0.72924656  0.6101186   0.40502875  0.40700982  0.66382227  0.24477046
  0.56728689  0.42929487  0.3092165   0.36869294]
[-0.18902023]
[ 0.58930385  0.67873389  0.49547567  0.42405212  0.54987456  0.35175349
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[-0.12064376]
[ 0.49564106  0.69025931  0.49871803  0.37760937  0.4158729   0.46335682
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[-1.04096993]
[ 0.57484775  0.57460513  0.41619607  0.51455099  0.56774259  0.5350849
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[ 0.517643    0.5489793   0.55969825  0.55665576  0.39531751  0.5133658
  0.46886843  0.58916983  0.51711124  0.4185952 ]
Progress: 84.9% ... Training loss: 0.590 ... Validation loss: 0.997[-0.97713308]
[ 0.36909206  0.61496524  0.49935161  0.39939794  0.46803203  0.3709654
  0.56978831  0.5216886   0.41996289  0.54120188]
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[ 0.60087026  0.68718573  0.45203013  0.36326277  0.72177735  0.29959515
  0.64139856  0.44886925  0.32296141  0.24834137]
[ 0.0884721]
[ 0.32771264  0.3335684   0.64625365  0.55055663  0.19260408  0.56935261
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[ 0.44323001]
[ 0.48843272  0.61593954  0.4899194   0.38883218  0.59025773  0.48604186
  0.49897381  0.33342552  0.51131972  0.55491903]
[ 0.07432667]
[ 0.50494308  0.6184831   0.57756432  0.45250466  0.40787701  0.46700493
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[ 0.79833996]
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[-0.50029132]
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[ 0.24738569]
[ 0.37306252  0.43949933  0.71787774  0.372191    0.24099027  0.45609376
  0.58399221  0.60502231  0.49936837  0.5950793 ]
[ 0.03092927]
[ 0.33280827  0.51304529  0.60325321  0.49911553  0.39198839  0.69137031
  0.40723241  0.64222354  0.55847149  0.50281661]
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[ 0.55720159  0.52279785  0.67084081  0.58930169  0.3484163   0.50648651
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[ 2.34597568]
[ 0.60296816  0.7439662   0.35332316  0.3006812   0.81206943  0.28879078
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[ 2.59676813]
[ 0.39390565  0.511767    0.66214966  0.394651    0.60722711  0.40617291
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[ 1.93161131]
[ 0.54720974  0.72891387  0.4047963   0.3629842   0.72559021  0.28861646
  0.60196165  0.39572013  0.2471005   0.3317668 ]
[ 0.79833996]
[ 0.46028001  0.63506002  0.47718079  0.35924123  0.63832505  0.33267898
  0.72142401  0.66395937  0.3715372   0.44903995]
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[ 0.14833378]
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  0.68950505  0.37018134  0.38269431  0.29050332]
[ 1.03919582]
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[ 0.80883607]
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[-0.53358048]
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  0.51760241  0.56776855  0.48135454  0.48145858]
[ 0.55182192]
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[ 0.51174266  0.61626331  0.50318386  0.40565137  0.61997326  0.39765607
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  0.4895461   0.52252235  0.41862159  0.55719639]
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[ 0.23731985]
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[ 0.85302129]
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[ 0.2695592]
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[ 0.17362903]
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[ 0.07208781]
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[ 0.24156548]
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[ 0.56560904]
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[ 2.38439047]
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[ 0.43127873]
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[ 0.0099699]
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[ 0.48759313]
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[ 1.96556684]
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[ 0.46687689]
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[ 2.49425706]
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[ 1.32854282]
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[ 0.29261669]
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[ 3.48867623]
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[ 0.28808366]
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[ 0.12003974]
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[ 0.07699522]
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[ 0.12005777]
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[ 0.94457892]
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[ 0.87476957]
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[ 1.25614759]
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[ 0.27815183]
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[ 0.78098493]
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[ 0.13983523]
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[ 1.70667164]
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[ 0.68201067]
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[ 1.72152928]
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[ 0.55367225]
[ 0.5242263   0.57135183  0.46796701  0.54178446  0.27619158  0.55425274
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[ 0.0929652]
[ 0.31826126  0.19392235  0.80309167  0.55510315  0.21021323  0.54242633
  0.41135181  0.62074765  0.5906086   0.63685225]
[-1.0156719]
[ 0.62572739  0.73813191  0.43582783  0.38069953  0.77784718  0.40042384
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[-1.03373337]
[ 0.41071076  0.58815854  0.48245657  0.47224159  0.49336274  0.38552135
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[-0.78202519]
[ 0.48511823  0.61047534  0.35841201  0.5168249   0.4273553   0.34039188
  0.73805365  0.69647268  0.44414521  0.62059967]
Progress: 85.1% ... Training loss: 0.589 ... Validation loss: 0.995[ 0.79487322]
[ 0.4620085   0.81601997  0.37987323  0.44273823  0.6750937   0.27737519
  0.67423037  0.41549804  0.292934    0.36351268]
[ 0.22860308]
[ 0.40896308  0.52706639  0.64542094  0.376293    0.41854076  0.42594076
  0.59929167  0.62224527  0.32179567  0.5113174 ]
[ 0.10093483]
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  0.42729424  0.70122088  0.65215687  0.67027471]
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[ 0.36227417  0.53201317  0.69462772  0.35558562  0.36823512  0.47631384
  0.63716367  0.65482385  0.6235694   0.48278475]
[ 0.12122835]
[ 0.34981274  0.58612208  0.64247469  0.3935803   0.34095637  0.58652085
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  0.52437094  0.83050507  0.69992644  0.66814085]
[ 0.03503402]
[ 0.6178999   0.80781197  0.2254688   0.3467424   0.71142274  0.31673083
  0.65624102  0.40535083  0.23842642  0.34920112]
[ 0.53816339]
[ 0.33176772  0.3625979   0.74136525  0.47506241  0.20165634  0.45924729
  0.60263442  0.66887195  0.45196661  0.61927138]
[ 2.32657283]
[ 0.48124768  0.65259377  0.50651231  0.4589376   0.54468499  0.50502897
  0.47297056  0.59755084  0.45774656  0.4808266 ]
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[-0.67489349]
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[ 0.76987271]
[ 0.27372712  0.57589797  0.63845545  0.43002452  0.41539763  0.49414497
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[ 1.56098808]
[ 0.33158324  0.48935524  0.67093897  0.4725802   0.43330733  0.61774704
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[ 2.12713534]
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[ 0.67233581]
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[ 1.27460679]
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[ 2.34173413]
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  0.5916929   0.44806007  0.27178849  0.32420573]
[ 0.04951508]
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[ 0.05544183]
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[ 0.01583607]
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[ 0.51264902]
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[ 0.19688886]
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[ 1.53265511]
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[ 0.07619993]
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[ 0.57578216]
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[ 0.21057712]
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[ 0.06551691]
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[ 1.02040311]
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[ 2.04621999]
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[ 0.10417611]
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[ 0.89581367]
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[ 0.48911017]
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[ 1.54887658]
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[ 0.89178427]
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[ 0.46060207  0.43761956  0.60646832  0.69463869  0.41948322  0.63178294
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[ 2.82292563]
[ 0.42279397  0.68318051  0.48574465  0.37929666  0.45288901  0.51650975
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[ 0.64915887  0.56703143  0.41963779  0.55671939  0.51664557  0.49211496
  0.62641746  0.38460336  0.42199263  0.4263301 ]
[-0.64733973]
[ 0.521362    0.61381406  0.55262735  0.55948588  0.30890643  0.48631199
  0.6329616   0.57903544  0.43643508  0.57111344]
[-0.48002173]
[ 0.37623783  0.57872255  0.55318822  0.38322896  0.27532744  0.3028816
  0.65300086  0.70125396  0.46758756  0.67200016]
[ 0.0472461]
[ 0.43034209  0.51128082  0.6252116   0.43200082  0.34026036  0.52507082
  0.44285034  0.50904868  0.6689535   0.66446771]
Progress: 85.4% ... Training loss: 0.589 ... Validation loss: 0.992[ 1.15538918]
[ 0.64698055  0.83067417  0.28007073  0.4078359   0.78747123  0.2620982
  0.70345536  0.46494099  0.26025861  0.3315039 ]
[ 0.28889842]
[ 0.58332375  0.69313526  0.3802149   0.43107893  0.79209933  0.450338
  0.59440999  0.34714256  0.34549186  0.31550469]
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[ 0.13620243]
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[ 0.09930745]
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  0.42284439  0.53091647  0.57604982  0.52541483]
[ 1.06855553]
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  0.47376895  0.69025355  0.5249456   0.73424759]
[ 0.02227523]
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  0.53950017  0.71821479  0.51138423  0.50639457]
[ 0.0360631]
[ 0.34442943  0.53074296  0.46258209  0.44233695  0.39068221  0.65903751
  0.5054891   0.59751838  0.57453577  0.6003277 ]
[ 0.34965694]
[ 0.32410758  0.33246307  0.78461113  0.42900234  0.12906485  0.62987826
  0.46180002  0.72744781  0.75400562  0.72387774]
[ 2.42971559]
[ 0.28217071  0.45691314  0.62548143  0.4040049   0.58551079  0.43623886
  0.56000847  0.48240139  0.43639988  0.42075756]
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[ 0.55308826  0.45891448  0.5843851   0.4491248   0.58166023  0.48856602
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[ 0.45068803  0.40689518  0.51490831  0.58047383  0.42118087  0.50770301
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[ 1.44967289]
[ 0.65540288  0.77743727  0.28218033  0.25970561  0.89391395  0.22727724
  0.76019723  0.26828617  0.21495695  0.24765971]
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[ 0.55132493  0.67601244  0.49831026  0.41350094  0.40247537  0.36843057
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[ 0.33429377]
[ 0.48917     0.58847896  0.62525056  0.52883475  0.28624853  0.54001246
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[ 0.48281219  0.4448698   0.56056537  0.52652773  0.39490914  0.57712176
  0.37091979  0.5116261   0.55767327  0.57362954]
Progress: 85.7% ... Training loss: 0.588 ... Validation loss: 0.995[-0.07819111]
[ 0.50647628  0.58690677  0.50683276  0.40895459  0.56672189  0.41338324
  0.52297933  0.58184995  0.34267264  0.49687774]
[ 1.38645714]
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[ 2.50899832]
[ 0.48977134  0.59400494  0.57116866  0.30916512  0.66757248  0.45471694
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[ 0.40838751]
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[ 0.14894097]
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[ 0.0159474]
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[ 0.15067255]
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[ 0.08813477]
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[ 0.15673744]
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[ 1.37055115]
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[ 0.13859641]
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[ 0.74641715]
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[ 0.23439872]
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[ 1.64128096]
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[ 0.55602882]
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[ 0.1424417]
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[ 0.54484623  0.54579012  0.58912632  0.57361746  0.35379762  0.53907444
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[ 1.56159451]
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[ 2.04705203]
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[ 0.43839091]
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[ 0.19882666]
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[ 0.00334373]
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[ 0.85116354]
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[ 0.08362338]
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[ 0.5892064]
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[ 0.00899507]
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[ 0.5967997]
[ 0.31578682  0.51709729  0.74894161  0.4346061   0.29503115  0.57341342
  0.43006647  0.69849224  0.69002825  0.63772179]
[ 0.35587528]
[ 0.56657489  0.65721465  0.53998223  0.41680577  0.61701219  0.46723795
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[ 0.31023268]
[ 0.19139935  0.27733919  0.71282703  0.52973702  0.20385927  0.40810379
  0.53952518  0.51736856  0.55421156  0.67204859]
[ 0.96802718]
[ 0.55468698  0.59845967  0.52692151  0.43881457  0.52497733  0.30622363
  0.56111611  0.35045622  0.36295936  0.42299007]
[ 1.35514933]
[ 0.56795834  0.7390235   0.44918787  0.35519047  0.77152663  0.38269652
  0.60414228  0.40684736  0.25629399  0.29805698]
[ 0.01541286]
[ 0.33605021  0.37667276  0.56327087  0.68451875  0.23811267  0.67491338
  0.52342494  0.77371717  0.62472538  0.60812408]
Progress: 86.0% ... Training loss: 0.588 ... Validation loss: 0.997[ 0.0480256]
[ 0.699072    0.81430743  0.27723514  0.30137202  0.90158597  0.27908325
  0.75626906  0.22032108  0.24806458  0.23534796]
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[ 0.29270293  0.34089512  0.67007256  0.5183655   0.19284444  0.56219655
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[-1.15112591]
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  0.59658222  0.56474886  0.43854462  0.44511645]
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[ 0.51379587]
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[ 0.54721315]
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[ 0.97291897]
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[ 0.09809518]
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[ 2.52138043]
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[ 0.35032591]
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  0.55142511  0.61608094  0.53127664  0.6520514 ]
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[ 0.1980922]
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[ 2.81791224]
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[ 0.58375038]
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[ 0.04448392]
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[ 0.01050751]
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[ 0.20208602]
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[ 0.17603163]
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[ 0.48832564]
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[ 0.74329726]
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[ 2.22662075]
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[ 0.30796096]
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[ 0.03930538]
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[ 1.00797224]
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[ 0.60366929]
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[ 0.09658761]
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[ 0.32824119]
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[ 0.15302021]
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[ 0.34050895]
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[ 0.35417151]
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[ 1.00546172]
[ 0.63289681  0.75443001  0.25849647  0.43975137  0.71836772  0.30227022
  0.6179293   0.36553246  0.27295746  0.46834952]
[ 0.30796096]
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[ 1.3745351]
[ 0.41878202  0.58204789  0.61422017  0.47378421  0.41236824  0.57867439
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[ 0.02875604]
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[ 0.16456062]
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[ 0.99764885]
[ 0.58977636  0.78177028  0.30826258  0.44538647  0.74355208  0.41920875
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[ 0.00296489]
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[ 0.57354921]
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[ 0.15635035]
[ 0.44174705  0.46518797  0.55192347  0.41505639  0.60748825  0.4309512
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[ 0.40415228  0.5207741   0.48298982  0.53299579  0.4343672   0.60891668
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[ 1.15112474]
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[ 0.12457043]
[ 0.50731751  0.55561923  0.53307934  0.40491043  0.58599384  0.40066554
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[-0.61202317]
[ 0.62971934  0.60502373  0.47538954  0.53788882  0.52878076  0.42228252
  0.68184082  0.60248671  0.46394441  0.42321527]
[-0.127174]
[ 0.53878348  0.4607747   0.51651559  0.45868308  0.47959625  0.44598032
  0.6359023   0.40215769  0.47524791  0.4229089 ]
[-0.11438213]
[ 0.32735829  0.43431838  0.69619781  0.6393939   0.20998627  0.58309008
  0.52347679  0.72728636  0.56827265  0.59192582]
[ 1.34801187]
[ 0.66214076  0.74606749  0.30399261  0.3098001   0.86529532  0.17452846
  0.71392881  0.32093279  0.2630033   0.289107  ]
[-0.48833613]
[ 0.46356799  0.5123597   0.65072318  0.52391668  0.38170106  0.45858339
  0.46814975  0.56212448  0.47080579  0.40790145]
[-0.58984893]
[ 0.42779216  0.40179528  0.61237282  0.43196439  0.51538523  0.55684736
  0.39780031  0.5128846   0.59357393  0.50782222]
Progress: 86.3% ... Training loss: 0.588 ... Validation loss: 1.001[-0.7344272]
[ 0.59035732  0.68452794  0.40965818  0.56272668  0.47382725  0.47021615
  0.64989662  0.59709338  0.36506504  0.4871011 ]
[ 1.55278782]
[ 0.61176834  0.51295029  0.49103198  0.44925664  0.60563461  0.40043978
  0.58551945  0.53076236  0.4627037   0.37350946]
[ 2.0212663]
[ 0.52894212  0.75445388  0.61905222  0.34942482  0.58138312  0.35244163
  0.57866068  0.46743057  0.24239911  0.43857014]
[-0.56049222]
[ 0.51335132  0.55032061  0.54713702  0.6365645   0.46404472  0.61993775
  0.48012409  0.48024839  0.49888835  0.42304813]
[ 0.02615974]
[ 0.43639731  0.453762    0.6195924   0.432312    0.32876324  0.39268758
  0.55585529  0.65418464  0.51535691  0.72041202]
[ 0.23938553]
[ 0.25776798  0.31599922  0.77911923  0.49432     0.2283778   0.5555457
  0.39955803  0.67676333  0.74942835  0.67567586]
[ 1.49475747]
[ 0.45685509  0.6009099   0.45741445  0.36151012  0.62090408  0.28174381
  0.60145843  0.32813739  0.25777163  0.4919113 ]
[ 1.43983739]
[ 0.6009155   0.72644999  0.47654014  0.36778918  0.67947504  0.35583197
  0.521533    0.31202719  0.30720938  0.33954495]
[-1.07773072]
[ 0.73918153  0.88470104  0.25468768  0.43133974  0.79287695  0.32506613
  0.65462126  0.37483363  0.23627738  0.27860801]
[ 1.93505643]
[ 0.47719289  0.68732034  0.42923645  0.48486033  0.69257218  0.43657704
  0.56542166  0.34170602  0.3054715   0.3848413 ]
[ 0.77888673]
[ 0.56623981  0.7301747   0.52988152  0.38232636  0.6158468   0.31571893
  0.60948548  0.55965778  0.21121908  0.38663996]
[ 0.11964058]
[ 0.30065587  0.48187163  0.70021184  0.44235064  0.19679599  0.46461292
  0.53678044  0.65784301  0.66745484  0.56496378]
[ 1.68571623]
[ 0.53094741  0.64758334  0.41145646  0.32398136  0.77335244  0.30678852
  0.62462661  0.35247293  0.35131376  0.30646133]
[-0.47003115]
[ 0.37147492  0.47632033  0.59593759  0.38194208  0.53938372  0.3281123
  0.59413384  0.65356115  0.40830678  0.54237134]
[ 0.44361331]
[ 0.52508226  0.59522671  0.48118365  0.43441982  0.63503592  0.44862413
  0.56718069  0.30533789  0.38354231  0.3073255 ]
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[ 0.34038941  0.4106056   0.71160072  0.5021607   0.36737343  0.61925491
  0.45172234  0.61650599  0.43402867  0.52848253]
[ 0.03821621]
[ 0.59178676  0.72450181  0.34160778  0.27683254  0.78926711  0.39628559
  0.5174704   0.24801885  0.30755612  0.30306273]
[-0.19611205]
[ 0.44492845  0.51092193  0.5640058   0.44625692  0.52400829  0.51625234
  0.44160182  0.47279817  0.40181993  0.42313244]
[ 0.08705802]
[ 0.31744922  0.40810423  0.70046039  0.52183185  0.19607537  0.59521178
  0.44455836  0.76576089  0.75407528  0.67001542]
[ 1.37440976]
[ 0.28466248  0.40348838  0.62487604  0.56513836  0.32328705  0.74446117
  0.35483412  0.63952029  0.58205599  0.71535194]
[-0.61696709]
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  0.39615402  0.54845917  0.5617441   0.54509185]
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  0.64383193  0.71856273  0.53897378  0.57146637]
[ 0.68219577]
[ 0.44985998  0.58034789  0.67732072  0.33734412  0.46991995  0.57828923
  0.46083591  0.64181746  0.41083376  0.63456885]
[ 0.61113289]
[ 0.50159636  0.6491541   0.38113791  0.40883565  0.67300367  0.31918914
  0.54692597  0.35755377  0.35272639  0.36438035]
[-0.07452465]
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  0.47603128  0.61271208  0.49182092  0.51468673]
[ 0.12902391]
[ 0.30543628  0.40759205  0.68826329  0.52473946  0.24166973  0.61515977
  0.35010226  0.61509927  0.57714761  0.68825109]
[-0.65217491]
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[ 0.86477153]
[ 0.65245423  0.73159771  0.24967313  0.48765794  0.72018101  0.34879674
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[ 0.59081327]
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[ 0.11814985]
[ 0.51075353  0.67972725  0.38931639  0.36279977  0.65636216  0.36717288
  0.6609417   0.4029914   0.28573068  0.37062573]
[ 1.31657721]
[ 0.50235983  0.6654387   0.39840131  0.36617611  0.68730201  0.29179352
  0.70876163  0.59465704  0.37460981  0.29066674]
[ 0.28418006]
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[ 0.98215453]
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  0.49410267  0.50379145  0.44352047  0.40319167]
[ 1.35052281]
[ 0.55745028  0.6981055   0.43019094  0.30051511  0.71298612  0.45917642
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[ 0.53483665  0.63776097  0.4851008   0.51911836  0.5934891   0.53991804
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[ 0.50659267  0.59532834  0.48305566  0.46722663  0.59941937  0.44404581
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[ 0.54977236  0.59855691  0.65441882  0.39386319  0.2538395   0.44167184
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[ 0.51516     0.52488486  0.47157531  0.55155229  0.37200976  0.55778589
  0.54054646  0.59407316  0.54899596  0.54187484]
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[ 0.4577876   0.45816619  0.53428299  0.49950967  0.55005069  0.51084039
  0.54844361  0.38462769  0.43123106  0.39484459]
[ 1.21753901]
[ 0.51226383  0.72603356  0.623384    0.34406191  0.55338748  0.40450165
  0.49034722  0.45905107  0.28803011  0.44765177]
[ 0.49065666]
[ 0.41629482  0.51846333  0.55632178  0.41134741  0.42447863  0.33215902
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[ 0.62141552]
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[ 1.82906516]
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[ 0.8890383]
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[ 1.7662461]
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[ 0.59974692  0.68055408  0.36907978  0.44961323  0.641766    0.38198053
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[ 0.0126063]
[ 0.4075804   0.61966318  0.47510292  0.34213108  0.57897753  0.44778841
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[ 0.51418095  0.63183368  0.37386595  0.55954847  0.37316532  0.44389438
  0.64622812  0.75704659  0.5457726   0.51293525]
Progress: 86.6% ... Training loss: 0.587 ... Validation loss: 0.996[ 0.72367121]
[ 0.59754849  0.56694908  0.49791383  0.40678395  0.64177512  0.31177516
  0.56971479  0.4736935   0.34718243  0.42154566]
[ 0.08575742]
[ 0.34874894  0.53239628  0.63145536  0.50943789  0.30398745  0.65503636
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[ 0.1578184]
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[ 0.24653059]
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[ 1.5003913]
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[ 1.17661344]
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[ 0.65143241]
[ 0.63423392  0.6068826   0.4369955   0.49974845  0.43719935  0.37799556
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[ 0.28552946]
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  0.53187715  0.33744772  0.43355117  0.42083307]
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[ 0.44697947]
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[ 1.21014304]
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  0.49080509  0.4341964   0.40153481  0.55878649]
Progress: 86.9% ... Training loss: 0.587 ... Validation loss: 0.997[ 1.34664021]
[ 0.55757289  0.69810721  0.43010133  0.30049596  0.71314376  0.45916806
  0.50809881  0.34587826  0.34375248  0.41651219]
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[ 0.4988804]
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[ 3.05109894]
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[ 0.41262127]
[ 0.5944001   0.66963615  0.3040043   0.51747854  0.63060742  0.49343881
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[-0.6759559]
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[ 0.47258443]
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[ 0.21332896]
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[ 0.74839763]
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[ 0.00445213]
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[ 0.17779354]
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[-0.81453794]
[ 0.49833258  0.44814447  0.56249255  0.50029179  0.5356019   0.42666692
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[-0.58915487]
[ 0.64149256  0.71907527  0.31664774  0.57043725  0.5538625   0.51868769
  0.52812521  0.40065428  0.485264    0.36499455]
[-1.40335512]
[ 0.51511515  0.75312274  0.4208369   0.4221616   0.5897967   0.37135311
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[ 0.00119329]
[ 0.27605466  0.39143045  0.71230796  0.54137502  0.27542662  0.66188843
  0.50251103  0.68030129  0.60692112  0.55677655]
[ 0.70505625]
[ 0.596017    0.73800535  0.44765493  0.28620711  0.59237954  0.24342068
  0.59741182  0.3789286   0.22234754  0.52439524]
[-0.94801558]
[ 0.48819759  0.5122813   0.45636918  0.49182815  0.61652765  0.33459777
  0.56149801  0.28549001  0.40658755  0.38840786]
[-1.12417672]
[ 0.44544996  0.68221865  0.489891    0.42813978  0.48853716  0.45947039
  0.5801524   0.54952668  0.30686198  0.40549248]
[-0.86180674]
[ 0.53512211  0.52494044  0.52453845  0.52087652  0.48355944  0.50099469
  0.51842036  0.61490733  0.44141248  0.44100216]
Progress: 87.1% ... Training loss: 0.586 ... Validation loss: 0.998[-0.21904858]
[ 0.61445723  0.66168673  0.42107965  0.38434344  0.59595405  0.38634199
  0.53342328  0.47670097  0.4487667   0.43987901]
[-0.36957411]
[ 0.37645787  0.49753937  0.62188221  0.47038082  0.30507971  0.58459493
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[-1.07978783]
[ 0.71584959  0.71739839  0.31511817  0.33807975  0.82017119  0.25806467
  0.71043391  0.16519166  0.20892735  0.21016049]
[ 0.24377385]
[ 0.63785305  0.61167649  0.55277867  0.32464445  0.52765154  0.26665438
  0.70024609  0.39956096  0.18956476  0.43235471]
[-0.65908926]
[ 0.54519403  0.73622377  0.29828181  0.43701218  0.6619436   0.39176001
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  0.49965402  0.6785845   0.60251546  0.50559506]
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[ 0.56227737  0.64460224  0.39793694  0.41613369  0.6861351   0.40449042
  0.66754352  0.29459891  0.39208902  0.35097011]
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[ 0.32557706  0.30058572  0.64243841  0.48337841  0.26876473  0.58705147
  0.54265084  0.63128132  0.65353033  0.54899684]
[ 0.10940785]
[ 0.41665749  0.56729121  0.68694132  0.39757341  0.40956266  0.50054407
  0.46531305  0.50744757  0.32593589  0.45636282]
[-0.60875021]
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[-0.40613328]
[ 0.59452586  0.61384879  0.39514539  0.50025713  0.5357213   0.56685163
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[-0.15098691]
[ 0.54306541  0.65316255  0.34858284  0.44500587  0.6556977   0.49488384
  0.55179652  0.34967806  0.41394628  0.34065353]
[ 1.05019933]
[ 0.46988863  0.60910338  0.38253196  0.44932717  0.57440201  0.24748539
  0.67461442  0.49977681  0.40086041  0.50089009]
[-0.38156878]
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[-0.08607929]
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  0.67479546  0.45020381  0.31972238  0.4575703 ]
[-1.33603705]
[ 0.52889327  0.59624592  0.47086318  0.39890258  0.67415599  0.3377468
  0.64807564  0.47679583  0.37341906  0.46670946]
[ 0.363674]
[ 0.49372709  0.45654381  0.75901632  0.41636137  0.31564228  0.44480641
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[ 0.78114185]
[ 0.51516866  0.60794948  0.5509888   0.43874364  0.53206321  0.48722532
  0.62916326  0.54644991  0.42289373  0.62068324]
[ 1.01645027]
[ 0.30479337  0.40477595  0.62920019  0.4630351   0.40717012  0.57913142
  0.50984018  0.70769151  0.5162959   0.614563  ]
[-0.94379338]
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  0.50263774  0.43211473  0.50258165  0.52830672]
[ 0.4041963]
[ 0.2779422   0.26852253  0.75591957  0.42264837  0.23969985  0.39850686
  0.49705683  0.5939922   0.66062727  0.63763502]
[ 0.73851206]
[ 0.44240987  0.61581356  0.59302773  0.46124099  0.40903535  0.53679642
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[-0.32372439]
[ 0.42955672  0.63906185  0.5233725   0.43200023  0.53921864  0.57594058
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[ 0.53922494]
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  0.610367    0.50737469  0.37504418  0.44632261]
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[ 0.36570359  0.57186839  0.66681847  0.6604132   0.33759778  0.65196233
  0.45773401  0.72051217  0.53774619  0.4866951 ]
[ 1.23911043]
[ 0.40285331  0.63755231  0.65164318  0.39360167  0.59782485  0.46500942
  0.48347532  0.51633106  0.4653328   0.49025138]
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[-1.30286941]
[ 0.45869228  0.66330132  0.42623164  0.46464587  0.64822105  0.38516021
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[ 2.00002171]
[ 0.30212965  0.48967227  0.62862856  0.61041508  0.28625423  0.69050385
  0.41945014  0.68252498  0.57598463  0.58289088]
[ 0.45475094]
[ 0.58613474  0.7591781   0.40073535  0.33508769  0.71729816  0.34954407
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[ 1.32406197]
[ 0.45699756  0.51639412  0.52901254  0.39459887  0.55993695  0.47851326
  0.45514325  0.45038873  0.49226377  0.39316357]
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[-1.18884788]
[ 0.45452977  0.68058884  0.48982708  0.35744138  0.63536232  0.36503774
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[ 2.72253793]
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[ 1.71535707]
[ 0.60405991  0.66743551  0.33964972  0.34191977  0.75858798  0.2923621
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[ 0.43088535  0.48407204  0.5403344   0.54260798  0.38250324  0.63887387
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[ 0.1029967]
[ 0.32598315  0.48825688  0.56296376  0.56699235  0.41095544  0.61440724
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[ 1.73399213]
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[ 0.0611237]
[ 0.31338165  0.5054473   0.644832    0.64728158  0.14217255  0.60428919
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[ 2.22393681]
[ 0.55263352  0.75953971  0.48692303  0.30104189  0.67846091  0.37573029
  0.59184624  0.43670644  0.2553425   0.41726848]
[ 3.1347132]
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[ 0.05077162]
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[ 0.71650746]
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[ 0.25461813]
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[ 2.55205739]
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[ 0.67336195]
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[ 2.7628459]
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[ 0.38615121]
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[ 0.21396223]
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[ 0.40471361]
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[ 0.93160231]
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[ 0.47940386]
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[ 0.98104663]
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[ 1.33817516]
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[ 0.30536942]
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[ 0.07546332]
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[ 2.02317878]
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[ 0.02876978]
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[ 0.29483768]
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[ 1.08432347]
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[ 0.65414432]
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[ 0.41297633]
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[ 0.70627031]
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[ 3.01937555]
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[ 0.04908223]
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[ 0.14336432]
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[ 0.06794855]
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[ 0.06176775]
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[ 1.7473339]
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[ 0.23687832]
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[ 0.44013059  0.52795757  0.5401447   0.52935762  0.38036062  0.57655637
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[ 1.74591809]
[ 0.46805155  0.71443195  0.38286029  0.37649733  0.72843736  0.31332335
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[ 0.4637273   0.68884586  0.51963162  0.52662897  0.55870989  0.38074821
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[ 0.48806017  0.42551521  0.46917741  0.60506385  0.50461594  0.58022445
  0.4821151   0.36848243  0.50504322  0.4489803 ]
[ 0.52590481]
[ 0.57022933  0.76851056  0.31908641  0.38840949  0.66983972  0.29522126
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[-0.29926056]
[ 0.69970287  0.74274986  0.32472749  0.37213692  0.72976341  0.29740677
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[ 0.3746645   0.50549981  0.53940519  0.43581735  0.40373995  0.55483131
  0.5498316   0.74681711  0.47718317  0.6004274 ]
Progress: 87.4% ... Training loss: 0.585 ... Validation loss: 0.989[ 1.42850097]
[ 0.40048565  0.59117149  0.46744589  0.39084445  0.63948869  0.41032833
  0.59294256  0.31693391  0.40936769  0.39437152]
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[ 0.48064339  0.56528105  0.47687755  0.66218533  0.2941195   0.5364619
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[ 0.792131]
[ 0.52474895  0.6072285   0.42490992  0.50171806  0.67838282  0.30093094
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[ 0.89080216]
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[ 0.56144221  0.47551     0.41633007  0.53933988  0.71011132  0.35348528
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[ 0.6490423]
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[ 0.72734291]
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[ 0.56594025]
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[ 0.02372745]
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[ 0.28299888]
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[ 0.076545]
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[ 0.47106766]
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[ 1.81025207]
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[ 1.28754011]
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[ 0.10629262]
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[ 0.33612506]
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[ 0.30001442]
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[ 0.39346417]
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[ 1.10080743]
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[ 0.33661198]
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[ 0.96131486]
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[ 0.04230885]
[ 0.52544217  0.61912769  0.37593154  0.46288431  0.67320398  0.40917752
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[ 1.19674358]
[ 0.60472595  0.66874336  0.34223925  0.47368227  0.62516219  0.45030914
  0.6807794   0.40760226  0.38986011  0.35167091]
Progress: 87.7% ... Training loss: 0.585 ... Validation loss: 0.993[-0.23592683]
[ 0.7301729   0.75775856  0.28969865  0.46244615  0.55357292  0.46284395
  0.57898517  0.32500801  0.34775303  0.40425128]
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[ 0.04160466]
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[ 0.07701936]
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[ 0.44784697]
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[ 0.07780795]
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[ 0.41257076]
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[ 0.67362569]
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[ 0.14340788]
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[ 0.11924871]
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[ 0.25287564]
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[ 0.13210086]
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[ 0.08663787]
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[ 2.48518445]
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[ 1.17254215]
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[ 0.34287717]
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[ 0.16779182]
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[ 0.15904008]
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[ 0.54066063]
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[ 0.36433461]
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[ 0.68794525]
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[ 0.65668654]
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[ 0.02217558]
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[ 1.09209199]
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[ 0.878678]
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[ 2.92278125]
[ 0.65449022  0.74725427  0.41797417  0.34741094  0.67956352  0.41135319
  0.59850992  0.37174196  0.27826155  0.2777656 ]
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[ 0.40376576  0.43133272  0.61153482  0.58622726  0.45982634  0.43641523
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[ 0.56418821]
[ 0.27672301  0.5802489   0.67225726  0.31460071  0.54247559  0.5661342
  0.54083298  0.47719505  0.44000056  0.56273841]
[ 0.1366244]
[ 0.644166    0.65944921  0.28818812  0.46917879  0.77648484  0.33160463
  0.59062538  0.35841054  0.43092403  0.40364385]
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[ 0.63120136  0.69195937  0.3444714   0.57551723  0.54145989  0.52574079
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[-0.65172624]
[ 0.77200956  0.82148265  0.20596078  0.37807754  0.87142816  0.35785065
  0.65782749  0.28331488  0.37874995  0.1963524 ]
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[ 0.50858922  0.68221173  0.44665162  0.29760738  0.77788358  0.34495814
  0.62019353  0.40820705  0.37697679  0.47709785]
[-0.41249508]
[ 0.36707856  0.41254866  0.62574901  0.48330224  0.45307691  0.55094342
  0.40632846  0.56466617  0.57189497  0.55007652]
[ 0.35427313]
[ 0.42448438  0.53279014  0.53832481  0.57577786  0.41061154  0.46389628
  0.50926053  0.45131111  0.46537619  0.54909929]
[-0.44535732]
[ 0.29513785  0.56817679  0.69188074  0.4653956   0.37130597  0.53277717
  0.41956805  0.63884719  0.5363525   0.64661371]
[ 0.36855172]
[ 0.35606299  0.46101003  0.69961514  0.54601151  0.26307518  0.70718068
  0.411259    0.6718266   0.51440891  0.6278446 ]
[-0.52033159]
[ 0.54154657  0.65256986  0.54466233  0.47798469  0.38275385  0.41639673
  0.60597457  0.60688968  0.34301763  0.52373303]
[-0.43120405]
[ 0.61571291  0.7488794   0.26485543  0.41701842  0.73446346  0.36237908
  0.65206284  0.41198062  0.30969063  0.35268133]
Progress: 88.0% ... Training loss: 0.585 ... Validation loss: 0.987[-0.34263088]
[ 0.62088591  0.6321941   0.37839967  0.45216918  0.69062087  0.45992832
  0.6270067   0.31692668  0.37364153  0.4419968 ]
[-0.19033379]
[ 0.48564614  0.59086967  0.43467176  0.58130136  0.3609851   0.41544949
  0.66123637  0.52934014  0.45975236  0.55607353]
[ 0.41184507]
[ 0.5107544   0.73662156  0.33888226  0.26355905  0.75982392  0.35727823
  0.49611156  0.32694971  0.27592244  0.37895412]
[ 0.35267518]
[ 0.49432168  0.71815512  0.43974926  0.39844747  0.64639172  0.37881548
  0.64213692  0.58398324  0.50425086  0.41556371]
[-0.88538489]
[ 0.41298222  0.45424886  0.57545472  0.4357231   0.47271638  0.32804741
  0.59354923  0.49528264  0.41578022  0.49379484]
[-1.34063197]
[ 0.50781717  0.67816684  0.45056927  0.37311931  0.59080249  0.37199742
  0.58253962  0.48278823  0.41767773  0.40172261]
[ 1.97592343]
[ 0.49716402  0.74813835  0.44747618  0.44330678  0.67245074  0.32505231
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[ 0.04077227]
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[ 0.14465864]
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[ 0.08468408]
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  0.54830799  0.48490725  0.35048694  0.57053901]
[ 0.83485501]
[ 0.40652829  0.627222    0.55631112  0.2833261   0.52649059  0.41991033
  0.53806379  0.67012976  0.5082673   0.45560379]
[ 0.89774006]
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[ 1.02968332]
[ 0.68750455  0.80365973  0.25008447  0.33962     0.73687314  0.27492341
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[-0.29707264]
[ 0.51036984  0.72791852  0.35576761  0.28363863  0.69392966  0.32920105
  0.66105724  0.34656914  0.34480904  0.34158512]
[ 0.2623781]
[ 0.62535625  0.41789803  0.59926355  0.48905925  0.37221656  0.40524062
  0.49967514  0.45190094  0.44250685  0.51057069]
[-0.9278776]
[ 0.53802256  0.4910055   0.50300873  0.44601992  0.57126715  0.31424171
  0.52487607  0.50421982  0.45795329  0.42678977]
[-0.40031827]
[ 0.3780566   0.60222373  0.53982229  0.48143387  0.62436649  0.44838715
  0.55341636  0.58905214  0.45023183  0.44837697]
[ 0.32336691]
[ 0.59811972  0.55934157  0.52010413  0.46101995  0.46612921  0.39439806
  0.52926766  0.49871893  0.58005669  0.30626106]
[-0.31888892]
[ 0.42699636  0.48730424  0.66850102  0.5205546   0.24158316  0.53118535
  0.53627932  0.64710984  0.5946025   0.57344592]
[-0.98420085]
[ 0.42056718  0.70471106  0.42458562  0.40432396  0.66151424  0.37967151
  0.61935517  0.56929286  0.42491779  0.47424527]
Progress: 88.3% ... Training loss: 0.584 ... Validation loss: 0.989[-1.058739]
[ 0.44662003  0.52025407  0.61873389  0.373413    0.62042836  0.37515481
  0.42603149  0.4368795   0.43629079  0.4485363 ]
[ 1.03176416]
[ 0.7064308   0.80200442  0.35743079  0.41929494  0.77138769  0.28179731
  0.70597612  0.4368354   0.20840409  0.30489615]
[ 0.52956618]
[ 0.5550858   0.75417296  0.39835674  0.37777188  0.57375715  0.38912092
  0.64986119  0.53168897  0.31216473  0.55509392]
[ 0.08432425]
[ 0.34896227  0.53326759  0.63134964  0.50880386  0.3040625   0.65466648
  0.55411621  0.66019535  0.65336056  0.5352636 ]
[-0.4356291]
[ 0.48633155  0.53702666  0.69824382  0.48170946  0.23527913  0.55804101
  0.46513029  0.46598121  0.4187226   0.6422304 ]
[ 1.21001607]
[ 0.56851306  0.7990242   0.30504832  0.27621049  0.71688388  0.29011203
  0.70442662  0.51817243  0.39364907  0.29122453]
[ 0.56390351]
[ 0.28555299  0.36274199  0.67072587  0.40265492  0.34363713  0.60618818
  0.50522328  0.57244305  0.47966075  0.63329844]
[-0.95109835]
[ 0.47891405  0.58896025  0.58137868  0.42243583  0.64728267  0.43794959
  0.62959444  0.42602469  0.41856808  0.55571975]
[-0.7640075]
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  0.57470014  0.57890666  0.43303855  0.51646045]
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  0.5135522   0.44929117  0.4337341   0.48245255]
[-0.73535001]
[ 0.37796771  0.53302216  0.60815573  0.34842298  0.51923622  0.35199559
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[ 0.71829581]
[ 0.61541404  0.65625696  0.32772036  0.41791533  0.77446605  0.19372262
  0.68419808  0.3856478   0.36971666  0.41748817]
[-0.70292287]
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  0.66959716  0.55862979  0.3502773   0.39534416]
[-0.07747345]
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[ 0.65299486]
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  0.66047292  0.6124169   0.42883517  0.46061803]
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[ 0.47745955  0.46336577  0.52255512  0.44614626  0.61496949  0.4268101
  0.52834988  0.4206571   0.47097533  0.42313785]
[ 2.29034942]
[ 0.52730878  0.65632544  0.71670264  0.2669353   0.55341105  0.40289641
  0.54629719  0.49269066  0.24398114  0.50167968]
[ 1.82344778]
[ 0.44567972  0.60675616  0.5451412   0.42046716  0.55577806  0.43923401
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[-0.59022962]
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  0.57353378  0.61081697  0.5328356   0.59267038]
[ 0.54001048]
[ 0.63245353  0.70829171  0.33726313  0.35113432  0.798555    0.22178391
  0.61913184  0.47822683  0.42984822  0.41337661]
[-0.34461787]
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[ 0.02201814]
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[ 0.84430184]
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  0.6663674   0.4048752   0.37399325  0.44942439]
[ 0.24177443]
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  0.49784191  0.31927239  0.41366638  0.45053442]
[ 0.33759972]
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[ 0.81633711]
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[-0.95520819]
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[ 0.18317763]
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[ 0.1890795]
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[ 0.9138867]
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[-1.12942143]
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[ 0.74142303]
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[ 0.18021267]
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[ 0.96167336]
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[ 0.26012891]
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[ 0.91240832]
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[ 1.06625693]
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[ 0.1328416]
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[ 0.79924338]
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[ 0.44770565]
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[ 2.34451046]
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[ 0.20429176]
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[ 1.66439836]
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[ 0.96690242]
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[ 0.38286302]
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[ 1.35621116]
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[ 1.96152838]
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[ 1.59425551]
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[ 2.74334158]
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[ 1.19677419]
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[ 0.19326391]
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[ 0.33235102]
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[ 0.07799527]
[ 0.59594353  0.77528288  0.28747707  0.33759116  0.82694586  0.27481612
  0.64494637  0.40464839  0.28891258  0.31368753]
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[ 0.15275999]
[ 0.63435624  0.85456012  0.25013928  0.34853126  0.79839425  0.24373226
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[ 0.02201748]
[ 0.32730594  0.38703334  0.57472907  0.57753751  0.38166504  0.53893693
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[ 0.76322114]
[ 0.44413284  0.64873512  0.42730626  0.3681042   0.65368663  0.44930791
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[ 0.35017778]
[ 0.45777587  0.72788048  0.36245172  0.37049424  0.7518844   0.17803325
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[ 1.42072863]
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[ 2.22835058]
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[ 0.03400859]
[ 0.28722113  0.51069143  0.6629781   0.47877945  0.27616453  0.55624859
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[ 1.40819524]
[ 0.54401102  0.57114357  0.51045134  0.37646909  0.46162378  0.27600374
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[ 0.43108639  0.5621288   0.40377107  0.53455847  0.50224179  0.4969701
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[ 0.02497505]
[ 0.50422548  0.60498606  0.56788489  0.30556582  0.62246819  0.52554572
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[ 0.26439825]
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[ 1.19322044]
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  0.4821178   0.3165406   0.40317891  0.46450324]
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[ 0.507441    0.69381516  0.47919886  0.37834682  0.54935218  0.46449952
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[ 1.051696]
[ 0.43065547  0.56304105  0.50366517  0.39875046  0.45883181  0.32389281
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[ 1.14336339]
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[ 0.07674775]
[ 0.29872845  0.51717997  0.65015559  0.40293969  0.43743536  0.56362132
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[ 0.50173139]
[ 0.69488717  0.75678852  0.3136736   0.26412868  0.89643692  0.21087119
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[ 0.73479447]
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[ 0.57016235  0.7189165   0.3494772   0.41821923  0.74992209  0.36964014
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[ 1.10612069]
[ 0.7600415   0.73433691  0.33694466  0.33098661  0.82541571  0.35272668
  0.68382822  0.3902376   0.27014829  0.30503836]
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[ 0.45282024  0.78696886  0.43855672  0.46151692  0.60714678  0.44962239
  0.62090745  0.62188009  0.39457766  0.2973288 ]
[ 1.01090494]
[ 0.59587196  0.69864348  0.33175047  0.39154489  0.6278051   0.32871232
  0.54823908  0.40482383  0.38386208  0.51724782]
[ 0.17993605]
[ 0.47836332  0.63119708  0.41838443  0.59919938  0.27751838  0.57589094
  0.56453157  0.67971604  0.54931578  0.56617345]
[-0.90767658]
[ 0.3619948   0.60447319  0.63104536  0.43026549  0.64709373  0.50601935
  0.61344178  0.52763658  0.37601626  0.46012777]
[-0.01425842]
[ 0.42785498  0.6387547   0.29892613  0.49617131  0.56480343  0.49574873
  0.65316137  0.59392985  0.5033671   0.51296286]
[ 0.55163888]
[ 0.60432928  0.68896667  0.2829232   0.38086527  0.77984147  0.26406253
  0.65730035  0.19659148  0.28428709  0.29109845]
[-0.45461683]
[ 0.41735232  0.66126353  0.5402558   0.31510349  0.50326891  0.39274426
  0.62250709  0.51631337  0.37652239  0.58691413]
Progress: 88.6% ... Training loss: 0.584 ... Validation loss: 0.976[ 0.52766683]
[ 0.42503695  0.53410953  0.50743232  0.57421955  0.29581156  0.56024722
  0.65245518  0.75403262  0.54718827  0.56387611]
[ 1.99611584]
[ 0.52536264  0.69938217  0.33405017  0.34482186  0.79579935  0.26965957
  0.58108734  0.44507587  0.30516402  0.31564212]
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  0.55424662  0.52259636  0.39226466  0.4695838 ]
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[ 0.46281679  0.75256563  0.42439609  0.42958547  0.69979436  0.48142695
  0.57636042  0.46091918  0.30026993  0.40032117]
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[ 0.55319253  0.68800076  0.45970263  0.42333887  0.64193936  0.46209582
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[ 0.34413425  0.59393128  0.53362646  0.38682121  0.5054449   0.43827069
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[ 0.50816793  0.52199885  0.40841068  0.54160566  0.46968981  0.43174327
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[ 0.21509101]
[ 0.66884912  0.80654755  0.52232977  0.29415452  0.7000787   0.3042387
  0.61159609  0.36451719  0.24539724  0.35277736]
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[ 0.49867168  0.52629723  0.53438669  0.49923555  0.36987821  0.50332145
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[ 0.20434433]
[ 0.4247076   0.40432267  0.69992338  0.45406001  0.3054016   0.62670633
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[-0.83776932]
[ 0.44637615  0.53655284  0.59090643  0.44180234  0.58128204  0.43547346
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[ 2.34643133]
[ 0.65020859  0.86855128  0.40269591  0.28273353  0.78532459  0.23607044
  0.68243262  0.35074487  0.15964448  0.33380284]
[ 0.06047348]
[ 0.23822357  0.52758212  0.71184882  0.49631313  0.38115383  0.59168055
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[ 0.29960844]
[ 0.26747094  0.58454965  0.77956913  0.49450276  0.17398737  0.71902596
  0.33382369  0.63807718  0.58172596  0.69642534]
[ 0.39951594]
[ 0.44970836  0.71506845  0.39070515  0.34164539  0.680914    0.41946455
  0.50290294  0.27953003  0.37437463  0.41678651]
[-1.27821772]
[ 0.73747962  0.85023542  0.18058716  0.39693056  0.85461358  0.39916697
  0.6221405   0.27629916  0.2933793   0.22938799]
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[ 0.4286426   0.50611955  0.67578701  0.66110771  0.23562454  0.62401974
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[ 1.10528948]
[ 0.65853975  0.71077014  0.35269871  0.23861296  0.91797435  0.17056403
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[-0.27816158]
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[ 0.61779192  0.7220544   0.25878472  0.52761903  0.67784503  0.40348013
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[ 0.41904092]
[ 0.33308202  0.41655887  0.63007922  0.64731319  0.182349    0.64953584
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[-0.41615249]
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[ 0.11015794]
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[ 0.50387505]
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[ 0.77253506]
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[ 0.0237599]
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[ 0.18649076]
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[ 2.88643435]
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[-0.57573333]
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[ 0.2398709]
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[ 1.44324069]
[ 0.57469188  0.66953928  0.55265935  0.28775296  0.75542831  0.32836522
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[ 0.42070841]
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[ 0.64047868]
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[ 0.52362617]
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[ 2.38327226]
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[ 0.25384075]
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[ 0.00363233]
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[ 0.41990018]
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[ 0.71910427]
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[ 0.1595594]
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[ 2.72151673]
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[ 1.08598789]
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[ 0.07532741]
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[ 0.68809294]
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[ 0.70354045]
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[ 0.28378282]
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[ 1.13621218]
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[ 0.2188146]
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[ 1.49039115]
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[ 2.07720565]
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[ 0.33104596]
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[ 0.87470699]
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[ 0.79330509]
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[ 1.0398914]
[ 0.35793071  0.40975023  0.61517803  0.51982512  0.37072834  0.64839927
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[ 1.97538507]
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[ 0.58719597  0.59053198  0.43172776  0.36091301  0.56897871  0.33413765
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[ 0.46745907]
[ 0.69603121  0.75863188  0.31271899  0.26252878  0.89746832  0.20995829
  0.76723362  0.31946584  0.27178357  0.32407233]
[ 1.57506153]
[ 0.57650405  0.69470688  0.43941436  0.43121541  0.69496317  0.40092532
  0.61083546  0.28573331  0.28524161  0.32494087]
[ 0.71153555]
[ 0.65423117  0.68901344  0.30714146  0.41109522  0.67062716  0.21417748
  0.59516442  0.40865229  0.40653581  0.31078343]
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[ 0.50791032  0.4800833   0.60259134  0.58213667  0.21360803  0.55151705
  0.55809231  0.57545055  0.4780489   0.6479445 ]
[-0.18169617]
[ 0.42681973  0.5291282   0.62003117  0.36960678  0.47878095  0.42395801
  0.61535283  0.66075124  0.59144503  0.53818149]
[ 1.26934345]
[ 0.60581328  0.83469098  0.36322501  0.22130631  0.73569299  0.3432792
  0.69127302  0.44008813  0.23124728  0.50285756]
[-0.15229801]
[ 0.60825339  0.67200303  0.45416488  0.3918687   0.48726528  0.32647545
  0.73437466  0.37399059  0.27642194  0.45265794]
Progress: 88.9% ... Training loss: 0.585 ... Validation loss: 0.968[ 0.98418908]
[ 0.53050447  0.67169023  0.52436169  0.34722376  0.63157082  0.40468709
  0.46728399  0.33342495  0.44737959  0.45455603]
[-0.05571147]
[ 0.34640764  0.61838199  0.63222691  0.45356478  0.49265318  0.59474333
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[ 1.08250568]
[ 0.42834623  0.67920883  0.56408773  0.46781745  0.43324835  0.358144
  0.64350201  0.4522109   0.35086825  0.52029593]
[ 0.07633977]
[ 0.33673183  0.41630811  0.71344035  0.48345652  0.31398239  0.64941579
  0.38232221  0.63010192  0.64098629  0.56503097]
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[ 0.38489329  0.60828247  0.50330252  0.4517909   0.46107634  0.55981898
  0.51823937  0.67627728  0.52643268  0.43437977]
[ 0.24754553]
[ 0.55619742  0.52420797  0.64124933  0.35817449  0.48310756  0.39935807
  0.50184628  0.48126237  0.57525879  0.48176789]
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[ 0.50998217  0.70050983  0.4552184   0.38151299  0.65936626  0.45894331
  0.61549712  0.57832882  0.49239306  0.32633038]
[ 0.62619688]
[ 0.56149798  0.81832021  0.28761619  0.31318599  0.86082528  0.17814201
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[ 0.0618243]
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[-0.14584662]
[ 0.27629871  0.3480786   0.63833169  0.5432436   0.32291459  0.58079113
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[ 0.58792434  0.56269236  0.45190728  0.54205541  0.37801763  0.4467115
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[ 0.37412411  0.40145385  0.68824863  0.50899297  0.22864888  0.48520022
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  0.68390765  0.39854834  0.2751587   0.39520958]
[ 1.60374127]
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  0.6413108   0.54875305  0.21058187  0.30651171]
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  0.5933825   0.41856927  0.47213661  0.44659423]
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[ 0.9914045]
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[ 0.03668037]
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[ 0.39263245]
[ 0.54551744  0.69024519  0.58610176  0.29910472  0.69820218  0.26804824
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  0.52402828  0.29944238  0.40185126  0.46504597]
[ 1.40145717]
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  0.61135539  0.41766884  0.25700469  0.29049307]
[ 0.59829237]
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  0.53573373  0.26885326  0.3170588   0.35601865]
[ 0.3197085]
[ 0.51031956  0.55260895  0.54533456  0.55576641  0.27797925  0.61400848
  0.52281853  0.65776379  0.52051191  0.65009474]
[ 2.48727818]
[ 0.36550349  0.41879141  0.74653248  0.4946149   0.19638118  0.58100696
  0.55724365  0.67612447  0.57267323  0.5271843 ]
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[ 0.08573038]
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[ 0.90941276]
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[ 2.48727818]
[ 0.36550349  0.41879141  0.74653248  0.4946149   0.19638118  0.58100696
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[ 0.77632082]
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[ 0.12546798]
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[ 0.52122688]
[ 0.53762626  0.67804843  0.54689843  0.37976149  0.44287144  0.52078658
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[ 0.8343456]
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[ 0.35270198  0.547793    0.71849932  0.53924142  0.29232375  0.50537262
  0.51751134  0.56257561  0.35414314  0.46506706]
[ 0.40853078]
[ 0.41910677  0.6117215   0.53173482  0.56282361  0.49805329  0.42476243
  0.67485793  0.61045956  0.41630442  0.46605772]
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[ 0.38690339  0.63054797  0.63221225  0.33850562  0.58711926  0.44354944
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[ 0.4637698   0.66183724  0.40390622  0.36590808  0.57585055  0.48204783
  0.57570658  0.40627226  0.41371458  0.40254873]
Progress: 89.1% ... Training loss: 0.585 ... Validation loss: 0.965[ 0.06070798]
[ 0.3481299   0.36850957  0.70981978  0.57288216  0.21679242  0.63756446
  0.60761875  0.72380329  0.56292305  0.73260318]
[ 1.38131772]
[ 0.52666904  0.77550897  0.41770864  0.41241687  0.76714305  0.29752909
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[ 0.14599571]
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[ 0.14585829]
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  0.67152857  0.31944639  0.32883834  0.29314588]
[ 0.31256804]
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[ 1.22184564]
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[ 0.01894551]
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[ 0.56465832]
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[ 0.24603658]
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[ 0.14961485]
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[ 0.03234996]
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[ 0.09436999]
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[ 0.48468608]
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[ 0.52604515  0.51554951  0.62170547  0.50272371  0.31939693  0.4424041
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[ 0.40538454]
[ 0.39069494  0.53976539  0.53248143  0.47402659  0.33798842  0.67169242
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[ 0.44157679  0.63065498  0.43299882  0.46767223  0.54539468  0.3669683
  0.60799929  0.63229142  0.55077137  0.45528529]
Progress: 89.4% ... Training loss: 0.585 ... Validation loss: 0.963[-0.21514943]
[ 0.60502538  0.69609098  0.50443557  0.41964102  0.52783092  0.40241001
  0.58203772  0.38233939  0.34301164  0.58742532]
[ 0.00829913]
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[ 0.56599551]
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[ 0.12405356]
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[ 0.06818135]
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[ 0.20592843]
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[ 0.93624708]
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[ 0.34887842]
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[ 0.04425482]
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[ 0.01439663]
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[ 0.23035676]
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[ 1.74356935]
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[ 1.03584031]
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[ 0.08717641]
[ 0.54388963  0.42117222  0.63615667  0.51474716  0.47633565  0.47198916
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[ 0.64158813]
[ 0.47019837  0.60120821  0.48210768  0.57688395  0.47431638  0.54269971
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[ 1.47719054]
[ 0.35421257  0.48839719  0.65571347  0.37623322  0.49746172  0.58708832
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[ 0.08541711]
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[ 0.52028458]
[ 0.50864679  0.63678277  0.32097854  0.43364335  0.81005767  0.29912594
  0.73633289  0.40219688  0.35754494  0.34953556]
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[ 0.65548527]
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[ 0.31939806]
[ 0.44200172  0.57225173  0.58066872  0.44178528  0.41941418  0.53596377
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[ 0.36245665]
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[-0.74365908]
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[ 0.49739369  0.45834409  0.54049186  0.58122597  0.4328084   0.58100152
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[ 1.22549301]
[ 0.52033274  0.70278744  0.42921855  0.37558869  0.54993177  0.35286007
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[ 1.34709498]
[ 0.68458637  0.68639635  0.45963788  0.35968822  0.63623581  0.3549163
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[-0.61054229]
[ 0.47746732  0.46474684  0.45957608  0.60424565  0.41682332  0.65347496
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[ 0.65305724  0.81969598  0.38887821  0.30569037  0.72311007  0.2958734
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[ 0.35254597  0.38975934  0.70278469  0.50530387  0.26026439  0.57402028
  0.38984289  0.62411638  0.6588011   0.65301568]
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[ 0.41124774  0.42061137  0.67358836  0.64011052  0.29913651  0.53286936
  0.41517839  0.73448952  0.5836153   0.55865768]
[ 0.48918307]
[ 0.48382447  0.6605959   0.55362827  0.39377351  0.5816947   0.3078762
  0.45257571  0.37237317  0.41363912  0.39320499]
[-0.32282469]
[ 0.46353073  0.75324633  0.42384818  0.42874561  0.70045656  0.4808559
  0.57682439  0.46036961  0.29977343  0.39956954]
[ 0.88134722]
[ 0.37500347  0.3822141   0.51075541  0.45326141  0.49432907  0.50989474
  0.50338578  0.45922587  0.41415136  0.45712094]
[-0.35265744]
[ 0.41514408  0.4819816   0.70198124  0.59701133  0.27514494  0.59575526
  0.4531113   0.60331631  0.47013177  0.5080944 ]
Progress: 89.7% ... Training loss: 0.582 ... Validation loss: 0.971[-0.24768852]
[ 0.67823462  0.67178956  0.52010829  0.43978184  0.5162046   0.43436498
  0.44267636  0.42322148  0.37915075  0.49246802]
[ 0.52352704]
[ 0.42887062  0.52439171  0.66410257  0.47749569  0.31508623  0.62464892
  0.35533439  0.58831769  0.46075908  0.62135727]
[ 0.09330634]
[ 0.48551004  0.61655857  0.46083694  0.39602706  0.65483235  0.39415171
  0.64159165  0.31508695  0.37478768  0.25730466]
[ 0.56235328]
[ 0.42697355  0.59178121  0.48391882  0.3088997   0.69345184  0.44497779
  0.44614591  0.36635569  0.35388252  0.44207356]
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[ 0.46022456  0.45888785  0.62688369  0.45486443  0.57346584  0.5255707
  0.50770123  0.47558544  0.51459682  0.45930448]
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[ 0.39754321  0.56429528  0.50394893  0.46740082  0.47417197  0.63239415
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[ 0.46190133  0.48724703  0.54740838  0.557294    0.36629447  0.57470351
  0.5672955   0.62881878  0.52316037  0.65577429]
[-0.32062943]
[ 0.55115697  0.65416921  0.38823208  0.34239845  0.67819989  0.51255772
  0.59389978  0.34647998  0.46196996  0.46027046]
[ 0.07905104]
[ 0.34157599  0.40865598  0.57461027  0.43908665  0.38353079  0.48123768
  0.47627206  0.5639579   0.54037012  0.68323574]
[-0.88370316]
[ 0.53444456  0.52297442  0.52500933  0.52218653  0.48065394  0.50210632
  0.51790945  0.61521992  0.44349369  0.4420364 ]
[ 0.53316137]
[ 0.62159216  0.67510925  0.31177438  0.49673926  0.67723021  0.39690945
  0.62260492  0.36649692  0.37851436  0.42938731]
[ 0.69794437]
[ 0.46243217  0.35075116  0.59083219  0.44424382  0.37691061  0.37422832
  0.54019686  0.45668037  0.45535332  0.64091421]
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[ 0.41678609  0.61662255  0.49232765  0.58358948  0.39521579  0.66336575
  0.57704288  0.60239576  0.47130846  0.59231172]
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[ 0.46803398  0.5765036   0.50592004  0.51402817  0.33865589  0.52126282
  0.55071805  0.75451397  0.63930216  0.60710037]
[ 1.36321835]
[ 0.30494731  0.46248411  0.71117181  0.62045129  0.21285939  0.62059975
  0.4784824   0.69561845  0.51157817  0.61919375]
[ 0.54972601]
[ 0.65272764  0.80314982  0.27205975  0.3734866   0.69964787  0.41046017
  0.58201785  0.36446176  0.34088898  0.49903742]
[-0.88631941]
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  0.61627355  0.56564743  0.264486    0.49363741]
[-0.29733452]
[ 0.4158685   0.58486351  0.47361716  0.45681325  0.33368166  0.60118199
  0.64462403  0.70267349  0.64230735  0.57623112]
[ 1.65787743]
[ 0.65400927  0.78474301  0.3172951   0.32827787  0.72387755  0.30109771
  0.68794591  0.45762148  0.17532385  0.35643851]
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[ 0.42822898  0.71344062  0.47810068  0.34058648  0.52264     0.43500001
  0.69058761  0.5809138   0.46516166  0.48023001]
[ 0.92902605]
[ 0.7185029   0.83828824  0.3223252   0.22276785  0.85005038  0.25172227
  0.72323613  0.2228299   0.16708797  0.30699094]
[-0.33423623]
[ 0.51170423  0.62287125  0.57453843  0.48968397  0.34454826  0.45316176
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[ 0.04105357]
[ 0.30693122  0.53537091  0.63705308  0.41697516  0.32217116  0.49462967
  0.56113305  0.585694    0.52141842  0.52736167]
[ 1.0300353]
[ 0.62054753  0.61069614  0.5854      0.34757966  0.56100306  0.53319815
  0.4993501   0.41385246  0.38547717  0.54508947]
[-0.86252641]
[ 0.47839001  0.63262307  0.48454203  0.3207857   0.51682143  0.28249532
  0.68685469  0.38573636  0.39077764  0.32661749]
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[ 0.33290993  0.56609734  0.46990272  0.50135962  0.36605554  0.66888776
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  0.6065377   0.58937507  0.38258864  0.45243161]
[-0.06230176]
[ 0.28652712  0.28044665  0.69813705  0.56697034  0.2979814   0.49592072
  0.54613294  0.67611095  0.58542427  0.6102791 ]
[ 0.10508942]
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[ 0.11447155]
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[ 0.07239494]
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[ 0.54155133  0.48999312  0.4777059   0.52157122  0.547159    0.51907666
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[ 0.21095743]
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[ 0.1538707]
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[ 0.61536888]
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[ 0.24879924]
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[ 0.74605053]
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[ 0.33137421]
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[ 1.08297828]
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[ 0.40784752]
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[ 0.1582863]
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[ 0.10519599]
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[ 0.69816326]
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[ 1.11286818]
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[ 0.37462174]
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[ 2.47739803]
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[ 0.66271047]
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[ 0.8777406]
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[ 1.29374326]
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[ 2.47228646]
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[ 0.57194901]
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[ 0.77700313]
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[ 0.04454548]
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[ 2.24830217]
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[ 0.67686837]
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[ 0.63351222]
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[ 0.31683617]
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[ 2.63481312]
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[ 0.09311851]
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[ 0.04946684]
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[ 0.27529225]
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[ 1.39347244]
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[ 0.30266503]
[ 0.4880483   0.55124259  0.50911209  0.43040923  0.57676101  0.42741974
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[ 2.94701187]
[ 0.57299268  0.72073249  0.44158563  0.25647102  0.75893736  0.34930841
  0.53929801  0.35060323  0.37351622  0.29109121]
[ 0.58622427]
[ 0.50251075  0.72268545  0.30013117  0.32985691  0.88875691  0.20486339
  0.78896104  0.36176968  0.25998334  0.24961661]
[ 0.21263374]
[ 0.39604346  0.47389356  0.55047691  0.55886299  0.31916429  0.65930596
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  0.71849271  0.54647998  0.43400766  0.35158946]
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[ 0.45850879  0.85261032  0.44586882  0.41715104  0.55479196  0.38359739
  0.62651714  0.5897579   0.36663832  0.30332704]
[-0.45569313]
[ 0.62509386  0.63989533  0.47040974  0.43778445  0.70518082  0.35726466
  0.52090373  0.37478369  0.4453927   0.42132058]
[ 1.48696856]
[ 0.38680294  0.66279822  0.64055343  0.42599668  0.47622997  0.42804733
  0.55105749  0.50025269  0.36915586  0.43421256]
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[ 0.51211687  0.5352062   0.49563447  0.4764587   0.60017983  0.56157572
  0.57827128  0.35540958  0.4321985   0.4490565 ]
Progress: 90.0% ... Training loss: 0.582 ... Validation loss: 0.967[ 1.85838556]
[ 0.53160658  0.64877401  0.45818473  0.4567608   0.73712238  0.3855551
  0.60962353  0.33632512  0.38237275  0.33260604]
[ 1.54163501]
[ 0.54399843  0.6091855   0.62333705  0.4561504   0.32054415  0.50033056
  0.50703686  0.46371126  0.35774284  0.52991037]
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  0.4448499   0.4494244   0.50582447  0.53534281]
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[ 0.61598846  0.75244027  0.35228578  0.27582771  0.75813245  0.22533279
  0.63092738  0.33424868  0.33901336  0.36754918]
[ 2.71317543]
[ 0.55026065  0.76821077  0.41307236  0.27048106  0.82210878  0.24068192
  0.7508211   0.48370648  0.25147303  0.3754219 ]
[ 0.00281425]
[ 0.43190009  0.67929284  0.4001568   0.38704999  0.43778936  0.53220671
  0.55622917  0.46105111  0.43459613  0.50522196]
[ 0.45165116]
[ 0.55729358  0.70026236  0.3331087   0.46585133  0.68328616  0.34021348
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[ 1.03260873]
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[ 0.56503582]
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[ 0.03722753]
[ 0.29245973  0.50334351  0.65947898  0.5087232   0.28235825  0.62359959
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[ 1.28405408]
[ 0.68225384  0.72973001  0.36025221  0.32459138  0.77683891  0.33112011
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[ 0.83220192]
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[ 1.03977884]
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[ 0.38543195]
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[ 0.03761574]
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[ 1.01951604]
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[ 1.587593]
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[ 0.15133626]
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[ 0.03117727]
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[ 0.17961204]
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[ 0.05764559]
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[ 0.67982588]
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[ 0.30203436]
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[ 1.01847044]
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[ 1.85838556]
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[ 0.10144466]
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[ 0.19501123]
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[ 1.80342991]
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[ 1.58165069]
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[ 1.33693076]
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[ 0.04033299]
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[ 0.50818771]
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[ 0.44170282]
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[ 0.19101207]
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[ 0.20322236]
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[ 0.32477249]
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[ 0.51044021]
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[ 0.04262558]
[ 0.35811795  0.46122321  0.59315815  0.55538629  0.38801954  0.58616747
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[-1.21546461]
[ 0.68661908  0.82217365  0.20813555  0.45974664  0.774798    0.42877289
  0.6311531   0.23764741  0.290203    0.27005782]
[-1.10225287]
[ 0.55069791  0.78259557  0.54622977  0.39555275  0.6428832   0.37238564
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[ 0.44552753  0.53143723  0.42888049  0.49510104  0.42321524  0.62323175
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[-0.5769625]
[ 0.59999842  0.61890876  0.50384285  0.42775539  0.47630729  0.32413387
  0.74189709  0.50109233  0.32624261  0.57645623]
[ 0.73385339]
[ 0.24960144  0.46614794  0.70249321  0.42721383  0.32775698  0.49656014
  0.54616419  0.53681974  0.53584683  0.69183197]
[ 0.48350514]
[ 0.3178363   0.3336127   0.72426792  0.61919525  0.11927451  0.58882683
  0.43735183  0.66060823  0.6232633   0.74326946]
[-0.56345979]
[ 0.66187635  0.80078525  0.34442724  0.53352226  0.41083941  0.47727586
  0.5954251   0.54691841  0.30701904  0.56573794]
[ 0.58319338]
[ 0.2715907   0.35729763  0.79449295  0.41695505  0.25074775  0.51447787
  0.4889338   0.67746132  0.58023468  0.53907025]
Progress: 90.3% ... Training loss: 0.581 ... Validation loss: 0.969[-0.24320183]
[ 0.31182092  0.52008239  0.73393705  0.43376357  0.25360879  0.56467675
  0.46872765  0.63087843  0.6134883   0.55726326]
[-0.01538084]
[ 0.40923965  0.50025503  0.6695984   0.35201386  0.23013632  0.53110401
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[-1.36784237]
[ 0.49884937  0.66714734  0.5091277   0.3788939   0.60005826  0.37601807
  0.61921696  0.43213827  0.3230026   0.29563422]
[-0.39060147]
[ 0.45594286  0.4965184   0.51246972  0.50975542  0.58729945  0.43701514
  0.523631    0.52513296  0.51447621  0.47012684]
[ 0.54282089]
[ 0.54119172  0.70485353  0.49151287  0.49892289  0.59792424  0.5570663
  0.47747578  0.51832117  0.49244334  0.4461153 ]
[ 0.77054809]
[ 0.45680735  0.46840586  0.64726004  0.40726124  0.39246533  0.43437352
  0.51215884  0.58570015  0.44419981  0.41747517]
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  0.4532827   0.62239672  0.40898787  0.49034134]
[-0.18675719]
[ 0.54831089  0.70249364  0.3520231   0.34352022  0.72169664  0.41933992
  0.55902504  0.23352593  0.31652801  0.33863973]
[ 1.12591274]
[ 0.56827123  0.63841992  0.35801867  0.36360542  0.70839696  0.24144426
  0.64318273  0.36375415  0.31175734  0.3886481 ]
[ 0.16245975]
[ 0.37241062  0.71165787  0.46775565  0.3628612   0.62520798  0.38541271
  0.55013656  0.37129242  0.39938537  0.47985633]
[ 0.02343736]
[ 0.5252515   0.61087879  0.38472262  0.44588983  0.65064398  0.50746453
  0.53870274  0.3389855   0.42343563  0.34686373]
[-0.60017034]
[ 0.38963882  0.47435695  0.59037953  0.44698756  0.47518498  0.59488614
  0.46289071  0.37710323  0.46372368  0.50846489]
[-0.34544352]
[ 0.51689106  0.51426818  0.48482039  0.48635467  0.47080469  0.44713598
  0.59054676  0.56678979  0.4965941   0.56883431]
[-1.15737452]
[ 0.50359999  0.62554975  0.43522866  0.43997401  0.66212086  0.37057253
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[ 0.17779886]
[ 0.51696703  0.34998873  0.64076221  0.4943292   0.3712301   0.3554585
  0.50917511  0.38280274  0.4927273   0.49220874]
[ 0.95173072]
[ 0.53594876  0.71178431  0.54222318  0.36449711  0.63587446  0.40632736
  0.62214345  0.45966781  0.28008519  0.43624883]
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  0.58713479  0.46758828  0.48108265  0.62049   ]
[-0.74861211]
[ 0.45350278  0.58526914  0.57795012  0.62361733  0.48581655  0.51234169
  0.58444284  0.51597454  0.42378542  0.47799406]
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  0.63349185  0.7069195   0.57624759  0.45097478]
[ 0.13592467]
[ 0.43556889  0.55265454  0.5830256   0.57647045  0.23783457  0.56724107
  0.51002198  0.79415117  0.6518748   0.61343193]
[-0.46036979]
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[-0.45481422]
[ 0.4151947   0.52918242  0.56650349  0.41111294  0.46574268  0.39188583
  0.51798402  0.33116786  0.41621277  0.4221422 ]
[ 0.60779118]
[ 0.61004586  0.69433332  0.39552692  0.39326277  0.73726893  0.36708159
  0.58695378  0.51207278  0.32417417  0.42383011]
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  0.6088516   0.6546856   0.45135058  0.55006523]
Progress: 90.6% ... Training loss: 0.581 ... Validation loss: 0.974[-0.26520923]
[ 0.48987844  0.65679052  0.50708151  0.28671271  0.59081745  0.21609542
  0.61759924  0.37937371  0.38957554  0.42532221]
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[ 0.67089959  0.83350542  0.2982179   0.41831596  0.82217874  0.33196217
  0.67359014  0.24813466  0.26236707  0.21844392]
[ 1.62937361]
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  0.62719313  0.34981125  0.34695911  0.30279851]
[-0.37859239]
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  0.52365192  0.52510543  0.51447029  0.4700929 ]
[ 0.43270991]
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  0.49231003  0.41409093  0.46662506  0.36219872]
[ 0.08047065]
[ 0.44429336  0.65237228  0.51326131  0.35345627  0.64317257  0.38735328
  0.53273103  0.39826978  0.41406657  0.51172052]
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  0.49130151  0.47810288  0.52000077  0.56008251]
[-0.27711982]
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[-1.04085769]
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[ 1.48257264]
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[ 0.4241936]
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[ 0.96126956]
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[ 1.73317087]
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[ 0.34453999]
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[ 1.04422394]
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[ 1.73396881]
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[ 1.08602488]
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[ 0.0380713]
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[ 0.14894634]
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[ 0.27480398]
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[ 1.8812683]
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[ 1.19683847]
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[ 0.59807476]
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[ 1.20289573]
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[ 0.80328939]
[ 0.33650961  0.55903222  0.53539307  0.43951222  0.36957075  0.49137424
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[-0.43735825]
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[ 0.10057447]
[ 0.56438217  0.53446218  0.42232464  0.42579913  0.56859362  0.47472498
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[ 0.55241623]
[ 0.52707174  0.83740925  0.26793795  0.32648573  0.83401487  0.43162219
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[ 0.50416379]
[ 0.6530273   0.68915889  0.47672225  0.33417685  0.77827338  0.32408028
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  0.38778456  0.57381919  0.52823685  0.54306643]
[ 0.14480658]
[ 0.31303024  0.37372683  0.68216726  0.45020061  0.21552219  0.5606501
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[ 0.18353886]
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[-0.65861416]
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[ 1.48818265]
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[ 1.50822491]
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[ 0.00683839]
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[ 0.49046945  0.52818732  0.41667036  0.60240815  0.47320694  0.56164308
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[ 0.84180909]
[ 0.60026188  0.72841335  0.50208846  0.29103797  0.7427515   0.31593569
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[ 0.20131861]
[ 0.60114472  0.71417721  0.53861886  0.29903222  0.81898201  0.32220512
  0.66906136  0.43407523  0.2811765   0.29951311]
[-0.50990403]
[ 0.56675652  0.76690079  0.43468986  0.38199186  0.67559348  0.31472504
  0.64776452  0.43839538  0.29336233  0.4130517 ]
[ 0.12727567]
[ 0.43866029  0.48938962  0.52626824  0.63000638  0.40188541  0.50352953
  0.55389412  0.59230115  0.4885773   0.60636885]
[ 0.21938496]
[ 0.29719486  0.50052298  0.70033972  0.53225062  0.18862642  0.64667193
  0.33061579  0.5799994   0.54273062  0.69410134]
[ 0.21160032]
[ 0.74561983  0.7539582   0.37811843  0.38576546  0.6910374   0.31244518
  0.6747901   0.40686261  0.2340172   0.37138727]
[-0.07930735]
[ 0.49736831  0.60577169  0.59037322  0.48460356  0.49943772  0.4579687
  0.45213288  0.53327542  0.40815818  0.35952663]
[ 3.17897141]
[ 0.67879665  0.7578083   0.417122    0.29377281  0.77671292  0.36182184
  0.67208018  0.39245014  0.23368446  0.33148568]
[ 0.49462679]
[ 0.43600648  0.44445933  0.58007527  0.40436166  0.46087166  0.32417281
  0.63941048  0.38391128  0.3847425   0.5091623 ]
[-0.55362198]
[ 0.37242179  0.42143415  0.76548913  0.36808022  0.44106297  0.34013861
  0.51209076  0.51340904  0.36419227  0.43489444]
Progress: 90.9% ... Training loss: 0.581 ... Validation loss: 0.968[-0.38264819]
[ 0.37149012  0.3864435   0.66129208  0.54531823  0.32644051  0.50331763
  0.5813099   0.70912379  0.60837116  0.45006735]
[ 0.20042063]
[ 0.39475235  0.54978135  0.56627544  0.47791116  0.46478325  0.49161792
  0.50730359  0.56603928  0.59002609  0.51633675]
[-0.28340771]
[ 0.313406    0.45257258  0.61031177  0.47131066  0.38876047  0.70934332
  0.3642589   0.65080174  0.57305241  0.66613172]
[-0.5919632]
[ 0.40799202  0.45678844  0.47606643  0.55221896  0.51195549  0.5930385
  0.45466524  0.58333288  0.48988442  0.51445654]
[-0.41772784]
[ 0.55310891  0.58440523  0.60777315  0.45820848  0.52321397  0.4531426
  0.4556226   0.51536823  0.44386189  0.47820329]
[ 0.05767345]
[ 0.43435576  0.5478271   0.41259288  0.62328899  0.35369035  0.51833602
  0.58190084  0.65082591  0.54496104  0.60442114]
[ 0.08431999]
[ 0.27791474  0.49280113  0.77405734  0.46088814  0.28227223  0.73515867
  0.36035174  0.65871443  0.59410665  0.7128237 ]
[-0.31571819]
[ 0.48696961  0.59886378  0.42976324  0.40350307  0.62984632  0.40681664
  0.53258563  0.56121449  0.42060535  0.51496994]
[-0.82660883]
[ 0.50381694  0.47877331  0.57832527  0.37643591  0.54651303  0.32382418
  0.45031319  0.43350134  0.4789823   0.50333488]
[-0.10982692]
[ 0.55564581  0.67717757  0.63029036  0.37266276  0.48263081  0.32298687
  0.65175026  0.48124734  0.31415035  0.3197442 ]
[-0.63521543]
[ 0.51371101  0.59933256  0.58720265  0.54434646  0.40216034  0.53092341
  0.55620278  0.44667342  0.37491464  0.55052658]
[-0.63226096]
[ 0.70395352  0.68206486  0.30307135  0.36591347  0.8103457   0.29244848
  0.68865057  0.35899653  0.39721445  0.34692393]
[ 0.3313579]
[ 0.58175662  0.64340948  0.36131631  0.4480053   0.70326462  0.39736604
  0.55808205  0.47827457  0.42213761  0.41711123]
[ 0.74314118]
[ 0.69711123  0.80823491  0.24801139  0.32736008  0.83167245  0.30247603
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[-0.69972432]
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  0.58703646  0.51824479  0.35731566  0.41068895]
[ 0.37412229]
[ 0.36535903  0.47025124  0.42524463  0.58528303  0.44379241  0.49484863
  0.6591141   0.62415598  0.5350244   0.53325105]
[ 0.60384215]
[ 0.45236344  0.48726951  0.49188906  0.41539523  0.47971871  0.50541301
  0.48820939  0.53726106  0.55996056  0.66099555]
[-0.06170503]
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[-0.03270058]
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[-0.2091364]
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  0.5800636   0.54357131  0.5731247   0.48894712]
[ 1.27830497]
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  0.43027253  0.53942457  0.35670075  0.52573749]
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[ 0.1187568]
[ 0.54099001  0.57571434  0.45250728  0.4627973   0.50577348  0.40498082
  0.5494998   0.37110481  0.5232545   0.41461242]
[ 0.37087011]
[ 0.6796445   0.62245882  0.41168085  0.48383331  0.56577905  0.42685607
  0.5982041   0.47494091  0.40492192  0.47219019]
[ 0.01167965]
[ 0.53711986  0.48331413  0.61684323  0.55092639  0.36270862  0.64765772
  0.45765083  0.48576054  0.5006498   0.49723816]
[ 0.87385806]
[ 0.56749557  0.60243447  0.42356887  0.42772971  0.60334195  0.45586141
  0.5608545   0.29026677  0.4522038   0.29336545]
[-0.3977371]
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[-0.01268001]
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[-0.12040456]
[ 0.39307532  0.58705439  0.56256009  0.5048856   0.37812567  0.51323971
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[ 0.14513929]
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[ 0.56934498]
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[-0.27379722]
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[-0.57791012]
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[ 0.25048881]
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[ 0.10055302]
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[ 0.03261011]
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[-0.14210375]
[ 0.45036463  0.55357318  0.4636766   0.49024561  0.52099752  0.56317049
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[ 3.30567543]
[ 0.55276713  0.67855563  0.5033555   0.29331903  0.72885677  0.32785373
  0.6162027   0.43324401  0.29096593  0.38800881]
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[ 0.42670632]
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[ 0.97417106]
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[ 0.20042063]
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[ 0.0124948]
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[ 1.56507749]
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[ 0.95026005]
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[ 0.82083019]
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[ 0.47272532]
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[ 0.14603781]
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[ 0.8918261]
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[ 1.22069514]
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[ 1.60234824]
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[ 1.35041369]
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[ 0.74584472]
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[ 0.2756442]
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[ 0.46427975]
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[ 0.85040765]
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[ 0.18138046]
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[ 0.12542628]
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[ 0.42504093]
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[ 0.41924499]
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[ 0.53729474]
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[ 0.26118398]
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[ 1.34111149]
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[ 0.09401644]
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[ 0.0421898]
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[ 0.78659525]
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[ 0.67316973]
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[ 0.46211358]
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[ 0.00345762]
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[ 0.3609714]
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[ 1.04391007]
[ 0.26704099  0.42603218  0.67959932  0.48487742  0.24477059  0.57955321
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[ 0.46473488  0.38089048  0.53479825  0.6254835   0.37570184  0.49405227
  0.458406    0.38742982  0.56690635  0.53354697]
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[ 0.51442496  0.71675279  0.4803254   0.35237712  0.68689235  0.39167187
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[-0.07265771]
[ 0.42235291  0.62001051  0.40597532  0.42154158  0.5659661   0.39485031
  0.52240131  0.63351129  0.48114493  0.57077189]
[ 0.33513328]
[ 0.65285826  0.76489602  0.33625238  0.37300209  0.81461614  0.34574368
  0.6700915   0.26099146  0.34202957  0.19192407]
[-0.54308975]
[ 0.50734017  0.50776094  0.53057698  0.53014628  0.37174229  0.5562254
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[ 0.33467583]
[ 0.47777275  0.45697965  0.60357682  0.63303248  0.18877506  0.51971439
  0.60095358  0.81336849  0.56767707  0.66600027]
Progress: 91.1% ... Training loss: 0.580 ... Validation loss: 0.965[-0.70784426]
[ 0.44849152  0.55227802  0.59637782  0.57026821  0.43242058  0.57189175
  0.42530578  0.47006791  0.49410311  0.44113452]
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[ 0.24204978]
[ 0.39687464  0.25728622  0.77428053  0.56634999  0.11494744  0.61367498
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[ 0.85355153]
[ 0.48903254  0.62423983  0.39594929  0.44614641  0.61257446  0.43694481
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[ 0.25984681]
[ 0.54062442  0.41374888  0.65755327  0.50672127  0.29221201  0.40542972
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[ 1.82892113]
[ 0.54530496  0.73153122  0.36554828  0.38374079  0.60861249  0.45605321
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[ 0.78421082]
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[ 0.25022234]
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[-0.39169379]
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[ 0.00119253]
[ 0.36289088  0.30223329  0.71148186  0.47266659  0.27735534  0.53713775
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[ 1.37115739]
[ 0.48378663  0.58808292  0.51176549  0.43196584  0.53356192  0.32809273
  0.5558708   0.39588997  0.3663097   0.41635344]
[ 0.40218188]
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  0.42115309  0.34215184  0.44740021  0.49723632]
[ 0.2697149]
[ 0.56467693  0.46472284  0.54649371  0.46007293  0.4821705   0.30084391
  0.52076352  0.45911625  0.5492977   0.39136395]
[ 1.62353359]
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  0.5380924   0.40529282  0.35686274  0.46461168]
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[ 0.20245239]
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[ 0.03443111]
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[ 1.57650753]
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[ 0.0601202]
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[ 0.58310685]
[ 0.67057563  0.75577568  0.32433875  0.36104164  0.80430795  0.32186492
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[ 0.04022724]
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[ 0.75477928]
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[ 0.40863204  0.6899623   0.49969026  0.39592428  0.45710619  0.4579154
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[ 1.16819575]
[ 0.51346957  0.727115    0.62243619  0.34295887  0.55410796  0.40367663
  0.49114546  0.45808893  0.28755947  0.44641144]
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[ 0.00904908]
[ 0.28252322  0.504391    0.6999736   0.37624206  0.46209972  0.44974808
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[ 1.26984254]
[ 0.43757959  0.64851236  0.50855846  0.3180913   0.60642492  0.48001707
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[ 0.04199622]
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[ 0.59193715  0.45521535  0.58008317  0.60155128  0.37459911  0.5698255
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[ 0.63224794]
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[ 0.35174196]
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[ 0.04674806]
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[ 1.45779922]
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[ 1.0861253]
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[ 0.73243454]
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[ 0.22670166]
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[ 0.67747446]
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[ 1.68828358]
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[ 0.49615431]
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[ 0.91901437]
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[ 0.08437546]
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[ 1.31694503]
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[ 0.98229044]
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[ 0.26656639]
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[ 0.04620847]
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[ 0.69160676]
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[ 0.52492878  0.62408078  0.44162738  0.51703052  0.45888017  0.64300256
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[ 0.15882363]
[ 0.54467659  0.66738756  0.43188956  0.31694437  0.72399378  0.22775677
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[-0.06356073]
[ 0.48944548  0.47397481  0.6703975   0.5871455   0.1715992   0.54840595
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[-0.28221706]
[ 0.47468414  0.53465628  0.52142245  0.39575453  0.52674521  0.52980747
  0.39312708  0.39961628  0.51956426  0.48936404]
Progress: 91.4% ... Training loss: 0.580 ... Validation loss: 0.965[-0.87633572]
[ 0.52595972  0.55996693  0.52007637  0.56513903  0.47994576  0.51965116
  0.43546699  0.32878616  0.5035036   0.46153963]
[ 0.11672366]
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[ 0.58618554  0.63449414  0.37871525  0.44765901  0.65122937  0.35766028
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[ 0.3145702]
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[ 1.0172747]
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[-0.04249922]
[ 0.66642405  0.63335798  0.47450227  0.51015212  0.42034802  0.39428065
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[ 0.30306674]
[ 0.54523456  0.79670951  0.26467586  0.35773151  0.76172476  0.30336798
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[ 0.85627256]
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  0.48232095  0.4540392   0.42128001  0.52638778]
[ 1.13774033]
[ 0.64271105  0.73853136  0.36703584  0.43924964  0.57699773  0.32684693
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[ 0.25219679]
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  0.75367397  0.33654474  0.30473992  0.36089107]
[ 0.32158685]
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[ 0.14353506]
[ 0.45365766  0.48026643  0.57326403  0.48810061  0.27875783  0.60489768
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[-0.87962337]
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[ 0.67325198]
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[ 0.40044931  0.42485696  0.55369356  0.57624571  0.37336383  0.63665383
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[ 0.04771546]
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[ 0.82852901]
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[-0.35067214]
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[ 0.26708204]
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[ 0.51338964]
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[ 0.16817534]
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[ 1.28136856]
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[ 0.41304207]
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[ 2.07014684]
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[ 0.0970307]
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[ 0.77990037]
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[ 1.0370045]
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[ 1.11648269]
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[ 1.30439776]
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[ 0.2025125]
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[ 0.31633203]
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[ 0.55267977]
[ 0.57290312  0.65959713  0.44404832  0.5106815   0.61913627  0.53354877
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[ 0.50051075]
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[ 0.39325209  0.5529211   0.60738703  0.50432717  0.36148163  0.55237846
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[ 0.72119832]
[ 0.4845196   0.79732446  0.38624766  0.42490048  0.76287386  0.32208633
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[ 0.58177577  0.74284341  0.31865018  0.31865076  0.71139641  0.30989405
  0.70855463  0.51879283  0.36258533  0.5183298 ]
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[ 0.45372879  0.52421067  0.52603571  0.42890713  0.47186913  0.28968604
  0.58778382  0.6051163   0.39947525  0.57904058]
[-0.52047689]
[ 0.66795587  0.7651762   0.29760931  0.28129906  0.84363017  0.3295303
  0.66696066  0.28412371  0.28440697  0.27117488]
[-0.67350857]
[ 0.48169327  0.65209403  0.49923071  0.56985402  0.38327555  0.5854785
  0.55641987  0.63731427  0.42626422  0.55308769]
[ 0.55612808]
[ 0.64817623  0.77901185  0.26956934  0.3783562   0.79646833  0.3141818
  0.60314414  0.41058136  0.4102063   0.38107947]
[ 0.64147914]
[ 0.5780899   0.77159892  0.27181869  0.4242638   0.71504524  0.39990337
  0.59103424  0.32464308  0.33648133  0.3938545 ]
Progress: 91.7% ... Training loss: 0.579 ... Validation loss: 0.965[ 2.37576274]
[ 0.66120721  0.79463076  0.29634253  0.2502152   0.87522933  0.27286478
  0.70942491  0.37269247  0.26015804  0.27996345]
[ 0.95592579]
[ 0.54876063  0.56924324  0.40323177  0.405154    0.66241311  0.24025794
  0.64024378  0.41304936  0.39711163  0.36990132]
[-0.74768531]
[ 0.44265945  0.65098887  0.5912498   0.40519802  0.6472073   0.34128313
  0.55851845  0.48631011  0.32557559  0.41112633]
[-0.47704891]
[ 0.57707475  0.59993742  0.43155376  0.47779104  0.5383077   0.49732753
  0.53791458  0.36353863  0.40220317  0.37688186]
[ 0.09363996]
[ 0.34826333  0.36883043  0.70978837  0.57228887  0.21665144  0.63722067
  0.60786177  0.72364753  0.5624193   0.7324092 ]
[ 0.28529258]
[ 0.36172601  0.49715584  0.51845773  0.51696463  0.41671375  0.54313278
  0.42772368  0.57580927  0.54313139  0.68184201]
[-0.12599983]
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[ 0.51848991]
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[ 0.3181522]
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[ 1.39639289]
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[ 0.18194617]
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[ 2.12304333]
[ 0.53105595  0.62968196  0.63016675  0.44796891  0.40168816  0.40286334
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[ 2.58475854]
[ 0.3430734   0.45207841  0.63224988  0.39292469  0.52363997  0.5378677
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[ 0.39509944]
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[ 0.44206094  0.58822742  0.67564084  0.53871552  0.45591832  0.51005063
  0.56764125  0.54657058  0.35028945  0.4364739 ]
[ 0.76544173]
[ 0.48204298  0.69990825  0.52963748  0.21745871  0.65962076  0.32807072
  0.64378711  0.60227819  0.46234301  0.46679687]
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[ 0.37478335  0.41915085  0.6545283   0.42143022  0.48436836  0.53978124
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[-0.39115726]
[ 0.61000756  0.76208728  0.47575822  0.32104251  0.67286972  0.33406908
  0.59540564  0.33693522  0.22367747  0.46342876]
Progress: 92.0% ... Training loss: 0.580 ... Validation loss: 0.955[ 1.44169894]
[ 0.72101413  0.70520643  0.37622895  0.40693818  0.67845495  0.43578054
  0.58690964  0.42540901  0.35207841  0.27335058]
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[ 0.6394527   0.75839395  0.44416641  0.47276143  0.57139232  0.4459769
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  0.54017469  0.7433627   0.60709093  0.5634913 ]
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[ 0.20597247]
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[ 2.13290309]
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[ 0.0936181]
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[ 0.76403917]
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[ 0.67129356]
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[ 0.03085743]
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[ 0.21242069]
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[ 1.43440926]
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[ 1.97864502]
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[ 0.36942378]
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[ 0.48696778]
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[ 0.13080012]
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[ 0.18451864]
[ 0.3683762   0.58501611  0.39472939  0.32298491  0.72793006  0.28750642
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[ 0.15376988]
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[ 1.22612845]
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[ 0.80357922]
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[ 2.52924507]
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[ 0.84672502]
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[ 0.21145566]
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[ 0.6522308]
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[ 0.16191767]
[ 0.25655681  0.33488926  0.7307231   0.50960037  0.19714335  0.68841258
  0.33038717  0.59138769  0.66094066  0.77091508]
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[ 0.41093871  0.54807031  0.56380683  0.44870091  0.41604415  0.38963185
  0.6085758   0.46179371  0.32700186  0.41945678]
[ 1.90013404]
[ 0.3967723   0.48977108  0.54979515  0.47397698  0.49421649  0.42504194
  0.66319411  0.61548552  0.47022582  0.29849749]
[ 0.17746656]
[ 0.31943894  0.5408961   0.51802502  0.5423789   0.44180861  0.64244804
  0.49925502  0.60981014  0.5496902   0.52981479]
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[ 0.45333893  0.54442613  0.50641442  0.42288449  0.54797147  0.33994018
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[ 0.53792572  0.63403532  0.34798295  0.44154217  0.77144861  0.35181009
  0.65782757  0.40393641  0.37017062  0.33794612]
Progress: 92.3% ... Training loss: 0.578 ... Validation loss: 0.961[ 1.58097147]
[ 0.66013874  0.80527634  0.28724415  0.22975175  0.87195717  0.21594848
  0.67708558  0.24364278  0.26572644  0.18639987]
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[ 0.42505617]
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[ 0.07576649]
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[ 2.08754541]
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[ 0.01486927]
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[ 0.17848422]
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[ 0.47747794]
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[ 0.17370793]
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[ 0.00241023]
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[ 0.18542016]
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[ 0.19082679]
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[ 2.77134017]
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[ 1.19404964]
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[ 0.55316666]
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[ 0.41379322]
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[ 0.0070682]
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[ 1.63882571]
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[ 0.6683485]
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[ 0.06330454]
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[ 0.03783625]
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[ 0.11411896]
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[ 1.47132508]
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[ 0.4392827]
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[ 0.14871217]
[ 0.51527662  0.53304501  0.49042273  0.42857423  0.56657181  0.38048267
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[ 0.19919832]
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[ 0.43847757]
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[ 0.11633708]
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[ 0.15223612]
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[ 0.0839482]
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[ 0.29121857]
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[ 0.80981853]
[ 0.70912638  0.61645557  0.41486399  0.3716074   0.73029545  0.33890778
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[ 0.69187608]
[ 0.55380733  0.65851862  0.34313902  0.42827175  0.63360128  0.47924911
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  0.57272878  0.51337461  0.2497307   0.33612914]
[ 0.14150429]
[ 0.54562062  0.78007221  0.36312126  0.33162203  0.77312026  0.23704343
  0.6649847   0.35811802  0.27873987  0.21917142]
[ 0.75660496]
[ 0.42786859  0.53767823  0.56258275  0.41965414  0.42079305  0.44751974
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[ 0.51819954]
[ 0.5845331   0.69288164  0.4055725   0.4701389   0.78246681  0.32649913
  0.66398438  0.47384079  0.40421741  0.39447987]
[-0.29380595]
[ 0.33704694  0.31763797  0.67123645  0.55014856  0.32323177  0.41320854
  0.57037593  0.65920421  0.56954748  0.56941367]
[ 0.94420465]
[ 0.48083774  0.54975843  0.43861773  0.41578895  0.71803031  0.34591206
  0.52737873  0.55593369  0.40062589  0.45839777]
[ 0.73448313]
[ 0.34005745  0.62673009  0.40239968  0.4443318   0.53389218  0.4758135
  0.64818351  0.63237079  0.47628009  0.4854723 ]
Progress: 92.6% ... Training loss: 0.578 ... Validation loss: 0.966[-0.46060175]
[ 0.66288876  0.6249017   0.4663254   0.29358987  0.60270603  0.28120735
  0.63316211  0.52797156  0.42963652  0.54319598]
[-0.05929828]
[ 0.38854959  0.41213505  0.62166529  0.58399036  0.24485709  0.65206577
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[ 1.28897863]
[ 0.62994363  0.77553039  0.46053484  0.34714799  0.49301853  0.31833909
  0.69617005  0.48894171  0.22430101  0.49194957]
[ 1.38346952]
[ 0.60220692  0.63971504  0.47140361  0.49629443  0.54125315  0.3711617
  0.69640036  0.51913231  0.35319651  0.37951299]
[ 0.57653858]
[ 0.35944729  0.49424457  0.67877081  0.3790078   0.47630889  0.63260803
  0.40139058  0.57623525  0.51652321  0.69326342]
[ 0.17649312]
[ 0.3100772   0.39986175  0.75146181  0.3491871   0.30213874  0.45213537
  0.64398816  0.66654613  0.49657806  0.72423601]
[-0.8314191]
[ 0.43286613  0.47614857  0.61331381  0.55374985  0.49336985  0.55333958
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[ 0.22296403]
[ 0.35535404  0.50850306  0.57304352  0.37439549  0.50256962  0.36633339
  0.60856203  0.45518001  0.49095164  0.46981365]
[ 2.02153132]
[ 0.27692189  0.46709987  0.71176532  0.53911049  0.26804941  0.69042604
  0.34949907  0.6662155   0.61380723  0.6288859 ]
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[ 0.41884167  0.62868027  0.49738505  0.40041958  0.36520765  0.38937637
  0.76016164  0.6986415   0.39865297  0.6529923 ]
[ 0.03811569]
[ 0.64574576  0.74519928  0.37747978  0.42688713  0.76538775  0.3561064
  0.67239523  0.45160471  0.42378298  0.28737962]
[ 0.23442372]
[ 0.4673631   0.5453994   0.61508138  0.40302696  0.55789383  0.33065215
  0.51896839  0.49768699  0.33156109  0.42698043]
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[ 0.43989307  0.6694201   0.45225352  0.35424736  0.606298    0.3245304
  0.64212545  0.65599101  0.46500045  0.4400224 ]
[ 0.87694998]
[ 0.60761072  0.65292378  0.390308    0.33724583  0.76382252  0.29668449
  0.60208685  0.34230043  0.33597424  0.34334463]
[ 0.94507274]
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  0.54069881  0.71867644  0.69135599  0.57861729]
[ 0.18627639]
[ 0.35756423  0.61140445  0.61634977  0.57699722  0.16196671  0.59336055
  0.49975079  0.60121335  0.59669523  0.65869099]
[ 0.78960599]
[ 0.38537704  0.3900199   0.67497058  0.41091777  0.36415299  0.58404274
  0.53205819  0.66621211  0.61178405  0.63967757]
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  0.50333749  0.55027946  0.32565914  0.53186854]
[ 0.64572687]
[ 0.59469294  0.88242097  0.24182925  0.32439359  0.78565054  0.26326176
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[ 1.07884047]
[ 0.66204549  0.71399085  0.34954842  0.23562948  0.91914323  0.16896397
  0.76796458  0.35896167  0.27376625  0.26075978]
[-1.30219192]
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  0.57748639  0.45486866  0.3881986   0.41993191]
[ 0.95760669]
[ 0.63650518  0.77240859  0.29598785  0.35765556  0.7912678   0.26980393
  0.70738402  0.44693754  0.32510038  0.29870059]
[ 2.51061248]
[ 0.63715481  0.85588255  0.39313485  0.38264201  0.69724443  0.28212708
  0.70568718  0.48394628  0.17880344  0.32560013]
[ 0.01467492]
[ 0.74970207  0.72542281  0.37357535  0.45804663  0.70291616  0.43873003
  0.61383899  0.36752802  0.39704632  0.33122801]
[ 0.15894494]
[ 0.54488302  0.77914085  0.36362068  0.33275678  0.77192922  0.23775339
  0.6644761   0.35858401  0.2799396   0.21981384]
[ 1.64391672]
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  0.49359316  0.57407104  0.31900034  0.51781514]
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[ 0.06237647]
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[ 1.22924572]
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[ 0.62033771]
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[ 0.33615843]
[ 0.29047539  0.49163379  0.62393989  0.53003414  0.21867506  0.59324916
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[ 0.50286478]
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[ 1.05612666]
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[ 0.55649034]
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[ 0.06845817]
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[ 0.32232693]
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[ 0.09913742]
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[ 2.37248305]
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[ 0.38181712]
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[ 0.07153672]
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[ 1.17294447]
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[ 0.32252054]
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[ 0.96343711]
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[ 0.06105683]
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[ 1.89409457]
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[ 1.45642505]
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[ 1.91968554]
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[ 0.40554574]
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[ 0.02310375]
[ 0.30477661  0.3991226   0.70346771  0.6134759   0.30052159  0.71569152
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[ 0.04462351]
[ 0.38510524  0.55960673  0.64909068  0.32800911  0.45508686  0.44231313
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[ 0.44217323  0.5543326   0.56811948  0.50176189  0.32364452  0.57292009
  0.59026179  0.67703751  0.49813963  0.59197727]
[ 0.23893122]
[ 0.32065624  0.44722734  0.61955389  0.6419114   0.27049141  0.67336462
  0.39625169  0.75873819  0.67573217  0.67110928]
[-0.20661983]
[ 0.4179228   0.456036    0.53155299  0.45844944  0.46914275  0.40452818
  0.56191107  0.61433046  0.45685581  0.63959485]
[-0.1496175]
[ 0.42311994  0.71576913  0.37499597  0.3990434   0.45174091  0.53220297
  0.52746303  0.5579293   0.50336475  0.53975122]
[-0.23790546]
[ 0.46151109  0.59161269  0.44213429  0.52868055  0.51664527  0.46594184
  0.52383106  0.51348713  0.49394621  0.53585983]
Progress: 92.9% ... Training loss: 0.577 ... Validation loss: 0.962[-0.36275944]
[ 0.6648807   0.56166768  0.45344275  0.44832285  0.51318903  0.34990656
  0.71831704  0.39411743  0.3529618   0.44078072]
[ 1.07261189]
[ 0.52757363  0.6731236   0.53069026  0.45249502  0.5712703   0.5135501
  0.51152599  0.599136    0.31104376  0.43234876]
[ 0.36745283]
[ 0.36232817  0.5453439   0.55060523  0.43610433  0.35580386  0.52530854
  0.55687579  0.71149168  0.53911871  0.59339783]
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[ 0.53306474  0.77501876  0.40475785  0.21220823  0.78006904  0.36807234
  0.56438988  0.30771178  0.32308951  0.45537944]
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[ 0.45563276  0.5371109   0.56565039  0.42550381  0.4246148   0.45961223
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  0.67323929  0.34666505  0.33411665  0.48426033]
[ 1.48615523]
[ 0.60007386  0.66340221  0.33307663  0.34557616  0.76319358  0.16616266
  0.67725307  0.37534378  0.30890953  0.39861101]
[ 1.08459573]
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  0.6846602   0.38050674  0.25019035  0.36597175]
[-0.13603001]
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  0.54374234  0.56839556  0.51026065  0.35463369]
[-0.46932999]
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[-0.00192293]
[ 0.48432422  0.60363987  0.58345324  0.24609999  0.54970047  0.30460634
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[-0.63273983]
[ 0.61389753  0.61740366  0.59506585  0.44800024  0.48036998  0.3700284
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[ 1.63793035]
[ 0.50895041  0.54654552  0.55575463  0.36593554  0.66987758  0.43049722
  0.59627282  0.50736807  0.41677762  0.47172144]
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[ 0.32257341  0.52329226  0.65870678  0.54879711  0.32131638  0.71419186
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[-0.26385914]
[ 0.61552583  0.66281619  0.42019022  0.38324701  0.59669829  0.38575399
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[ 1.11637863]
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[ 0.3613744   0.53651833  0.53013744  0.49437788  0.40103294  0.63089954
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[ 0.45598487  0.54613436  0.44308205  0.35636511  0.6270202   0.48478068
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[-0.29927407]
[ 0.52527241  0.68639567  0.49164978  0.43501047  0.32236358  0.48924011
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[-1.01636366]
[ 0.4458587   0.52956716  0.61414162  0.3381143   0.55179116  0.44772833
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[ 0.0747465]
[ 0.48857507  0.55194844  0.49191689  0.55716637  0.31799456  0.54730339
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[ 0.59352108  0.7852034   0.47925237  0.48715707  0.54836186  0.46573679
  0.5590982   0.67070427  0.31610363  0.36923683]
Progress: 93.1% ... Training loss: 0.578 ... Validation loss: 0.953[-0.62792768]
[ 0.40033104  0.55768356  0.71704578  0.5488045   0.43812092  0.50669819
  0.51231334  0.55961241  0.35176775  0.39037767]
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[ 0.1178662]
[ 0.47726657  0.50445797  0.48956756  0.48483871  0.39263931  0.38168659
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[ 0.31113532]
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[ 0.92384276]
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  0.52346321  0.51146375  0.35423122  0.512819  ]
[ 0.1261887]
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[ 0.11343935]
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  0.48366073  0.64569236  0.52112104  0.6086467 ]
[ 0.39485405]
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[ 0.43684718  0.5137237   0.58695477  0.5529111   0.35266314  0.47685731
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[ 2.76381229]
[ 0.22931743  0.34399842  0.74367633  0.50431383  0.22576856  0.64134553
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[ 0.42787221]
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[ 1.39572224]
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[ 0.19117014]
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[ 0.02455243]
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[ 2.9600781]
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[ 0.33321527]
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[ 0.97293057]
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[ 0.63901797]
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[ 2.43296535]
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[ 0.32811451]
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[ 0.07226561]
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[ 1.04343859]
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[ 1.0052371]
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[ 0.02043585]
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[ 1.1549458]
[ 0.38119063  0.61667005  0.57812752  0.36343388  0.43834893  0.56695539
  0.40188466  0.6391853   0.5281311   0.55588481]
[ 0.21604873]
[ 0.28231571  0.34563383  0.78140386  0.43943776  0.20092774  0.58838873
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  0.58330974  0.53826432  0.44912063  0.48988767]
[ 0.40361501]
[ 0.38218412  0.65866585  0.51422522  0.60983416  0.32781099  0.58421271
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[-0.2030055]
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[-1.13370352]
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[ 0.46771115]
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[ 0.01443657]
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[-0.21558881]
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[ 0.37016178  0.50972187  0.66889716  0.48110003  0.45239915  0.43138464
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[-1.30913211]
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[-1.06195028]
[ 0.47686738  0.57357014  0.47593264  0.48511398  0.52808688  0.35451867
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[-0.102142]
[ 0.43415397  0.61807465  0.49616748  0.52131068  0.49574281  0.50543254
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[ 2.23493323]
[ 0.45737882  0.55740511  0.59615814  0.35898279  0.55318717  0.50694098
  0.47762953  0.37500959  0.47373521  0.31815498]
[ 0.9347179]
[ 0.46130892  0.66484333  0.48185677  0.32784884  0.67053425  0.39177737
  0.50043595  0.26293827  0.45045788  0.34263546]
[-0.13109061]
[ 0.46866217  0.68156939  0.43851468  0.38229042  0.53457125  0.37975184
  0.64170902  0.44859612  0.35275207  0.41252682]
[-0.3553342]
[ 0.53601498  0.59853017  0.58211248  0.38497076  0.45005565  0.49076969
  0.422       0.42616141  0.44829823  0.41849194]
[ 1.11689009]
[ 0.63163176  0.62921282  0.28940921  0.46379045  0.64491362  0.34130307
  0.58516063  0.24480619  0.37323821  0.36010704]
[ 0.05839516]
[ 0.54107865  0.68164264  0.32863698  0.47254061  0.64004542  0.41318734
  0.6507861   0.28157712  0.40697057  0.45599147]
[ 0.4575527]
[ 0.63063182  0.66869593  0.33231612  0.46689834  0.61171897  0.45747553
  0.56671191  0.47462924  0.4746839   0.40362957]
Progress: 93.4% ... Training loss: 0.576 ... Validation loss: 0.958[-0.90322504]
[ 0.38053445  0.57792712  0.48255091  0.43187427  0.63652229  0.54135004
  0.51827529  0.50907103  0.42176744  0.44558029]
[ 1.75044363]
[ 0.58289056  0.80302733  0.29621799  0.35697554  0.84464632  0.26437995
  0.63353348  0.49204121  0.31478065  0.30766345]
[-0.85358443]
[ 0.43567428  0.68178351  0.48879723  0.27239895  0.6557308   0.29815819
  0.59808594  0.56040158  0.45677052  0.47484397]
[ 0.14107318]
[ 0.34935674  0.36249074  0.75698131  0.53146804  0.14871405  0.69690654
  0.4289346   0.62468939  0.637323    0.74994243]
[ 0.16342696]
[ 0.42978489  0.60013331  0.43727107  0.60986349  0.47654658  0.5109615
  0.57532589  0.65366626  0.45798752  0.56414145]
[ 0.301886]
[ 0.38574745  0.57310285  0.65129332  0.53500448  0.41204543  0.61713722
  0.5234775   0.51894527  0.54167124  0.48633331]
[-0.53792234]
[ 0.6733002   0.82198788  0.31335369  0.41989724  0.72698176  0.36761359
  0.6724418   0.25109093  0.19899478  0.30745298]
[ 0.19029586]
[ 0.28520587  0.39823557  0.63429368  0.45060672  0.4307521   0.54771528
  0.67384984  0.56744541  0.48147875  0.55757831]
[ 1.15617863]
[ 0.44939858  0.72181124  0.41236698  0.38736751  0.52147887  0.38757437
  0.70984862  0.63722334  0.35228267  0.5580901 ]
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  0.38074524  0.67476893  0.57945233  0.62304192]
[-0.41962788]
[ 0.63570575  0.59090001  0.49532953  0.4389711   0.46521861  0.47605623
  0.50801643  0.25244037  0.40024359  0.45645566]
[ 0.04577419]
[ 0.38778265  0.61955442  0.45136923  0.46088153  0.41412106  0.64109168
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  0.61505712  0.63131857  0.55461395  0.42424735]
[-0.50238145]
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[ 0.21242402]
[ 0.64009025  0.68912702  0.25245714  0.51093033  0.73412709  0.30513267
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  0.58587621  0.69977484  0.53946162  0.75907238]
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  0.55090746  0.51640361  0.49211752  0.53238296]
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  0.38896185  0.4772721   0.54399898  0.65755447]
[ 0.16308339]
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  0.61222753  0.6489671   0.44234222  0.61222729]
[ 0.25321858]
[ 0.37663451  0.3666311   0.76800953  0.56354032  0.13100103  0.68867394
  0.42435115  0.70608438  0.72403145  0.71909781]
[ 0.06441457]
[ 0.41849698  0.56946754  0.68563921  0.39516641  0.41057345  0.49879099
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[-0.72998312]
[ 0.6578722   0.75689992  0.26825031  0.56426683  0.57563401  0.5095339
  0.54504881  0.34911302  0.45350331  0.37663239]
[ 1.17571664]
[ 0.65252399  0.77881837  0.27404807  0.47549024  0.6926553   0.37531344
  0.62739044  0.33725373  0.30342931  0.32877403]
[-0.96763116]
[ 0.50173209  0.55796351  0.4647268   0.40423831  0.62662766  0.33997434
  0.55407998  0.40924135  0.39069078  0.48203226]
[ 0.13360586]
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[ 0.49382409  0.57322156  0.67226333  0.53996664  0.10761209  0.62430853
  0.48964974  0.72891633  0.63849557  0.67300451]
[ 1.44535793]
[ 0.62799549  0.6538525   0.39850371  0.35289142  0.72782195  0.33455398
  0.56736741  0.4458808   0.31721761  0.3372668 ]
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  0.58038212  0.40292924  0.29335264  0.4237504 ]
[-0.59408768]
[ 0.36694371  0.4690668   0.50031022  0.53645484  0.46358825  0.37481813
  0.63913148  0.58987688  0.46638689  0.50111717]
[ 1.35636218]
[ 0.46345766  0.65291867  0.48627669  0.34191389  0.56767619  0.50536174
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[ 0.1641589]
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  0.3943154   0.60043903  0.57674915  0.70178934]
[-0.90150178]
[ 0.44276252  0.50970497  0.532647    0.51801477  0.5236074   0.5252362
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[ 0.01055903]
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[-0.59542933]
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[ 1.055643]
[ 0.47205969  0.64741551  0.60053665  0.36863519  0.42205202  0.57843782
  0.42317551  0.60229745  0.42632411  0.53119122]
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  0.4871617   0.46143706  0.4488823   0.56691548]
[-1.03129222]
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[ 0.66801869]
[ 0.64766146  0.83065141  0.36848968  0.33379153  0.67325895  0.33305752
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[ 0.42867473]
[ 0.31543292  0.48995144  0.553705    0.50186397  0.33875297  0.69515491
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[ 0.14806994]
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[ 0.53068245  0.5868958   0.40079739  0.57893073  0.52619001  0.49795022
  0.53184495  0.39199021  0.44195177  0.51170958]
[ 0.58070537]
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[ 0.78258141]
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[ 1.08085495]
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[ 1.5297779]
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[ 0.29166388]
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[ 0.94660961]
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[ 0.51711555]
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[ 1.27615188]
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[ 0.00766652]
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[ 0.02897152]
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[ 2.24522492]
[ 0.69976783  0.80854805  0.39767261  0.2173401   0.82218905  0.31427192
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[ 1.35883811]
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[ 0.1097783]
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[ 0.18616064]
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[ 1.38290774]
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[ 0.2766913]
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[ 0.40165884]
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[ 0.18203115]
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[ 1.11550338]
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[ 0.91869817]
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[ 0.64573958]
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[ 0.58283348]
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[ 0.3436324]
[ 0.68210263  0.74977924  0.242234    0.39373492  0.7738998   0.32949487
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[ 0.00994187]
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[ 0.82164365]
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[ 0.24574]
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[ 0.47685184]
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[ 1.22034504]
[ 0.6812205   0.68265876  0.43000715  0.37792436  0.62730853  0.36763798
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[ 0.07908115]
[ 0.59999073  0.7329093   0.4261754   0.41629861  0.53689323  0.39052947
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[ 2.49045122]
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[ 0.77446941]
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[ 0.94660961]
[ 0.75423419  0.79310126  0.2497989   0.41435485  0.72255678  0.35716254
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[ 2.37243559]
[ 0.6609427   0.79310781  0.29639221  0.25129109  0.87420222  0.27391876
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[ 0.01582992]
[ 0.58528777  0.6163229   0.54801128  0.51110745  0.27697831  0.42588299
  0.62399257  0.60654302  0.48871676  0.5037026 ]
[ 1.03105303]
[ 0.3579462   0.37230905  0.63157653  0.49704582  0.3941313   0.46743287
  0.44537207  0.61799224  0.62498889  0.63256323]
[-0.62141211]
[ 0.39420918  0.58449564  0.50359394  0.41342801  0.596803    0.38847366
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[-0.63555975]
[ 0.58835048  0.79890968  0.47327824  0.42921932  0.63695081  0.45132175
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[ 0.43528878  0.49287565  0.6456869   0.51402209  0.22884388  0.57397405
  0.44303661  0.57581095  0.48830446  0.5514889 ]
[-0.10818145]
[ 0.37892009  0.50396596  0.68425136  0.39713533  0.27113994  0.4158194
  0.50927502  0.65084802  0.58795796  0.53667204]
[ 0.98043187]
[ 0.32565521  0.67211411  0.54881625  0.37065796  0.6507196   0.43101567
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[-0.94369937]
[ 0.53792174  0.48881925  0.50282401  0.44682369  0.56769543  0.31489522
  0.52474793  0.5039724   0.46031118  0.42716351]
Progress: 93.7% ... Training loss: 0.576 ... Validation loss: 0.957[-0.34544519]
[ 0.34983415  0.4275755   0.54515254  0.56963857  0.36800585  0.57719927
  0.53855515  0.66074308  0.60436457  0.62031721]
[ 0.40177736]
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  0.510793    0.58386272  0.4590259   0.62383098]
[ 0.07209385]
[ 0.35268838  0.42310373  0.75216667  0.44680229  0.19403952  0.6778498
  0.35327242  0.62385028  0.68280819  0.6528288 ]
[ 0.63060501]
[ 0.66010492  0.67614567  0.31484006  0.47690812  0.72444261  0.34296712
  0.61984821  0.28049611  0.40508245  0.34290919]
[-1.15576035]
[ 0.49780456  0.6437699   0.49229039  0.37045827  0.51208417  0.42115941
  0.55457243  0.52344449  0.45960966  0.46956214]
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[ 0.5863084]
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  0.46690002  0.6284054   0.71428457  0.72697406]
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  0.39082602  0.57260127  0.63985525  0.52411878]
[ 0.1318426]
[ 0.33222772  0.50659878  0.62462553  0.45423497  0.25272883  0.64918272
  0.44678157  0.64067124  0.65244621  0.63021927]
[ 0.75183293]
[ 0.56840989  0.48773095  0.4710605   0.60046169  0.42096676  0.43279184
  0.46380431  0.60597265  0.61962782  0.46934256]
[-0.4650783]
[ 0.28736846  0.548252    0.51143417  0.55228052  0.40889577  0.38791264
  0.61681943  0.60952426  0.49107259  0.56091824]
[-0.07545931]
[ 0.41209375  0.39141509  0.76164223  0.5289804   0.18752009  0.60427153
  0.45712349  0.5471404   0.42831886  0.60304828]
[ 0.02193159]
[ 0.40233419  0.40167385  0.5554168   0.56038982  0.24091438  0.54227286
  0.48927218  0.55854667  0.70885079  0.63525828]
[ 1.23253962]
[ 0.52594332  0.66186302  0.44240268  0.29378952  0.82282154  0.16388237
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  0.59165278  0.7270088   0.5703655   0.54663269]
[ 1.58485459]
[ 0.41041228  0.69318382  0.60049673  0.3317696   0.64292     0.38651707
  0.48236591  0.44031405  0.41825843  0.48091408]
[-0.24703844]
[ 0.3798484   0.57667792  0.54866023  0.42795553  0.32487087  0.59298776
  0.49029133  0.63225905  0.62024939  0.57381194]
[ 1.15054251]
[ 0.51525774  0.43094104  0.54064626  0.38011136  0.68018972  0.21058631
  0.56192481  0.40306132  0.4189698   0.39689405]
[ 0.36350209]
[ 0.36823618  0.41966003  0.61827297  0.71595466  0.16763271  0.66332989
  0.48279309  0.68746541  0.65752865  0.61870884]
[-0.34865528]
[ 0.49614538  0.40583763  0.50028477  0.61088338  0.4299456   0.45257412
  0.48451775  0.40221044  0.55837109  0.48240002]
[ 0.86948406]
[ 0.77208758  0.79793398  0.29705585  0.28814935  0.80908364  0.3335277
  0.60161988  0.29342619  0.29134049  0.25085291]
[ 0.49557933]
[ 0.40773721  0.60066119  0.54271261  0.62624479  0.22297323  0.6962872
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[ 0.3892998   0.56161319  0.56341591  0.46474291  0.3412972   0.42151738
  0.59575041  0.44144466  0.35280944  0.53024946]
[-0.1422207]
[ 0.34458379  0.48351995  0.53763687  0.54527402  0.37657687  0.60313357
  0.4618034   0.62669996  0.62107504  0.69732378]
[ 0.5667733]
[ 0.54007081  0.62942819  0.29532086  0.44441021  0.47803343  0.40691614
  0.58145121  0.42518074  0.44295746  0.60411746]
[ 0.0177036]
[ 0.5258602   0.6167844   0.37501014  0.46352791  0.67074637  0.40983296
  0.6437116   0.26084758  0.41305502  0.43930633]
[ 0.93914678]
[ 0.56376222  0.6178744   0.26196233  0.47038762  0.67247455  0.35540419
  0.67335081  0.27336612  0.39295955  0.33999134]
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[ 0.33795561  0.38846405  0.7176056   0.60864767  0.26251309  0.70606724
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[-0.56571271]
[ 0.39384297  0.50066846  0.66768467  0.42958277  0.49625826  0.61302806
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[-0.07469227]
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[-0.04431593]
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[ 0.28952698]
[ 0.50407428  0.70487571  0.32880535  0.30041968  0.74982664  0.24251694
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[ 0.97319455]
[ 0.43763532  0.52889774  0.67933229  0.42389746  0.44104683  0.42207681
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[ 0.20331071]
[ 0.37757708  0.45013275  0.7152587   0.36407336  0.24802456  0.44937137
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[-0.63704854]
[ 0.45419007  0.63881443  0.48394032  0.46342117  0.55192227  0.38401374
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[-0.70072746]
[ 0.5753939   0.69040891  0.50062475  0.38479959  0.3701685   0.44025553
  0.48561561  0.48027112  0.4749209   0.52891845]
[ 0.24583541]
[ 0.36426783  0.68846142  0.33339898  0.50027981  0.54355811  0.66096695
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[ 0.47484635  0.40560945  0.65105631  0.5121982   0.27644228  0.55998799
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[-0.54532285]
[ 0.46821226  0.5183301   0.53041018  0.63157059  0.36535795  0.56387152
  0.51048757  0.55705998  0.47878242  0.56621459]
[ 0.57661283]
[ 0.59939447  0.7796954   0.40402545  0.35117149  0.77892812  0.35734473
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[ 0.66281635  0.68597662  0.2970546   0.41593674  0.72372555  0.34973494
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[-0.67213888]
[ 0.53904741  0.60495345  0.4334844   0.36058155  0.72024196  0.20580674
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[ 1.42457033]
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[ 0.53106174]
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[ 0.89322891]
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[ 0.38043283]
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[ 1.01179775]
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[ 1.02380967]
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[ 1.24732282]
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[ 1.42804602]
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[ 0.75861996]
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[ 0.17623651]
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[ 0.19251424]
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[ 1.08033917]
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[ 0.02093927]
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[ 0.8070453]
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[ 0.83376419]
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[ 0.20461173]
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[ 2.56983605]
[ 0.31411235  0.47847316  0.65308511  0.50527557  0.39319503  0.59121229
  0.52467171  0.55974325  0.45676667  0.47483066]
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[ 0.08182124]
[ 0.50703533  0.58059576  0.50264474  0.51348947  0.20441353  0.60916173
  0.50196698  0.48125677  0.57336133  0.75993359]
[-0.29446022]
[ 0.3363428   0.5036427   0.67538556  0.42349348  0.28330842  0.56474598
  0.60245214  0.71923646  0.62004015  0.585106  ]
[-0.44621217]
[ 0.42149966  0.41053207  0.58665147  0.48322134  0.48637187  0.33681678
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[ 1.2518817]
[ 0.65669057  0.66428166  0.4256455   0.3368894   0.72277023  0.30369748
  0.58076889  0.39596919  0.3599123   0.28417746]
Progress: 94.0% ... Training loss: 0.577 ... Validation loss: 0.950[-0.45447429]
[ 0.48014241  0.54090749  0.5341016   0.51420012  0.3252629   0.53119496
  0.5993598   0.65990323  0.51805955  0.62924176]
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[ 0.47217847]
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  0.45909253  0.59856377  0.53239678  0.60388771]
[ 1.12700617]
[ 0.43562583  0.46201618  0.53168518  0.34593215  0.59976706  0.26762764
  0.60663123  0.29946304  0.33622785  0.38854747]
[ 2.1701103]
[ 0.66082594  0.7996546   0.27744975  0.23252017  0.87568388  0.18566736
  0.7744841   0.42286211  0.20747952  0.3239496 ]
[ 0.21234881]
[ 0.29543082  0.39266923  0.71713491  0.65553699  0.2057727   0.72845884
  0.35495903  0.74407611  0.68368663  0.70032919]
[ 0.33795434]
[ 0.41523083  0.50621408  0.59195104  0.53216845  0.41026205  0.44442451
  0.60517057  0.50529843  0.41379352  0.43382289]
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[ 0.59918204  0.7355183   0.45287802  0.33640741  0.77336407  0.37833254
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[-1.2131137]
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  0.4752697   0.647538    0.49726307  0.60008828]
[ 0.75680792]
[ 0.40032739  0.52258735  0.62892444  0.30401093  0.60668626  0.30546683
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[ 0.53259637]
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[ 0.0430361]
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[ 0.62136119  0.68529427  0.3764095   0.44151888  0.57724104  0.41611
  0.63410362  0.57749307  0.39763106  0.5483122 ]
[ 0.09842426]
[ 0.52912241  0.61002677  0.52369731  0.4540754   0.4428224   0.55245301
  0.57118527  0.48044054  0.55753342  0.48263819]
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[ 0.08282525]
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[-0.24964413]
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[ 0.3538262]
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[ 0.49202148]
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[ 0.42774021  0.45706459  0.58028702  0.41605177  0.35612997  0.41266558
  0.46246884  0.48640786  0.65640454  0.68621793]
Progress: 94.3% ... Training loss: 0.576 ... Validation loss: 0.951[-0.22225812]
[ 0.5465459   0.65561887  0.34557118  0.44162421  0.65798419  0.49248915
  0.55408763  0.34696056  0.41236881  0.33740088]
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[ 0.30834454]
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[ 0.62441534]
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[ 0.07505679]
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[ 0.0418793]
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[ 1.88429942]
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[ 1.57807412]
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[ 1.32072452]
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[ 1.60769037]
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[ 0.09300373]
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[ 1.01620113]
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[ 0.39694941]
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[ 0.60083999]
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[ 0.7038477]
[ 0.5396337   0.64279848  0.56269542  0.37269389  0.64613651  0.36896193
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  0.69885942  0.67859464  0.47050974  0.52876875]
Progress: 94.6% ... Training loss: 0.574 ... Validation loss: 0.967[ 0.32837707]
[ 0.62277127  0.64192574  0.42238999  0.35682639  0.71284117  0.31932352
  0.57418498  0.45129142  0.32383154  0.41265696]
[ 1.86282092]
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[ 2.64431463]
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[ 1.08577065]
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[ 0.01262321]
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[ 1.38453707]
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[ 1.32934116]
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[ 0.58585642]
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[ 0.09437878]
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[ 0.18267844]
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[ 2.77335408]
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[ 0.38387831]
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[ 0.92655754]
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[ 0.04273681]
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[ 0.77799503]
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[ 0.4694222]
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[ 1.09448326]
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[ 0.77068376]
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[ 0.33999563]
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[ 0.33667295]
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[ 0.10535493]
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[ 0.5152908]
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[ 1.37877587]
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[ 1.56072376]
[ 0.59004317  0.71077384  0.38253284  0.46921177  0.56545851  0.37938
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[ 0.47715296  0.54333006  0.48202985  0.52599966  0.55597533  0.41280092
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[ 0.11052263]
[ 0.4419195   0.75384542  0.42747168  0.44246528  0.65439963  0.518419
  0.55971888  0.42348299  0.29574106  0.4557851 ]
[-0.69835544]
[ 0.52356432  0.59418905  0.4025951   0.55451533  0.4919265   0.49734506
  0.51307942  0.55596905  0.49989546  0.6005946 ]
[ 0.15615239]
[ 0.49753888  0.4877496   0.5401613   0.34408914  0.59345354  0.29776796
  0.63042726  0.43148559  0.39122937  0.45210386]
[-0.47336957]
[ 0.29295865  0.5073205   0.61588309  0.48845339  0.51510893  0.60904589
  0.55908326  0.58595565  0.50917063  0.61411442]
[-0.29959767]
[ 0.59970151  0.74009185  0.24662372  0.59178022  0.47698103  0.51694751
  0.53834546  0.45215079  0.52587179  0.51017595]
[ 0.06702826]
[ 0.47418087  0.64466393  0.51887706  0.57914906  0.25337962  0.6100261
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[-0.09786153]
[ 0.32105019  0.61900105  0.61309682  0.50148011  0.35575018  0.65418574
  0.43354523  0.55626783  0.52174912  0.56175963]
Progress: 94.9% ... Training loss: 0.574 ... Validation loss: 0.956[-0.7209905]
[ 0.38707689  0.53789604  0.5745843   0.52957265  0.47311168  0.51454236
  0.51266326  0.60908491  0.51022045  0.46469613]
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[ 0.52790624]
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  0.6839382   0.4945594   0.16591556  0.2865252 ]
[ 0.09924927]
[ 0.33508491  0.3414869   0.77093569  0.5562402   0.20951208  0.57870989
  0.34204376  0.60887308  0.58645939  0.68258504]
[ 1.27193387]
[ 0.63113683  0.77648915  0.45953177  0.34575211  0.4945212   0.31748975
  0.69686157  0.48790459  0.22358531  0.49052697]
[ 0.81583406]
[ 0.70914594  0.615545    0.41472863  0.37220751  0.72903922  0.33935002
  0.60837508  0.47761191  0.40532501  0.41492244]
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  0.57970188  0.63452979  0.40530897  0.4902284 ]
[-0.87967758]
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[ 0.14399895]
[ 0.42348189  0.67214151  0.52628792  0.42556344  0.4117783   0.48010382
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[ 0.13913686]
[ 0.43585529  0.53225381  0.50030032  0.45034887  0.47293478  0.43190843
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[ 0.38279006]
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[ 0.27619488]
[ 0.50833978  0.5312065   0.57991908  0.31041345  0.623858    0.39724062
  0.67352401  0.4688974   0.38435436  0.48843348]
[ 0.21974281]
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[ 0.50031     0.64568047  0.40348359  0.36662759  0.65899637  0.36228198
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[ 0.48190993]
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[ 0.38830786]
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[ 0.33998251]
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[ 1.86131649]
[ 0.59976062  0.61071857  0.62017421  0.3244236   0.56948438  0.44510631
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[ 0.44420947]
[ 0.50450329  0.73235335  0.39379177  0.39970019  0.53435163  0.41123438
  0.72191788  0.6046774   0.3559021   0.5638062 ]
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[-0.49334739]
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[ 0.0508965]
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[ 0.38979197]
[ 0.53681232  0.5718199   0.62525891  0.50335875  0.41926396  0.46488985
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[ 2.09798122]
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[ 0.90790614]
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[ 1.2017204]
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[ 0.27980196]
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[ 0.6005116]
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[ 0.1129408]
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[ 1.5848808]
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[ 0.32360499]
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[ 0.16028824]
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[ 1.3726197]
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[ 0.50973243]
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[ 0.73955908]
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[ 0.59348269]
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[ 1.90882326]
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[ 0.48953597]
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[ 0.14428764]
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[ 0.17569732]
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[ 1.69162142]
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[ 0.32257252]
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[ 0.51387153]
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[ 0.26147996]
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[ 0.77008495]
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[ 1.34810536]
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[ 0.36157602]
[ 0.57027424  0.72139963  0.4658078   0.35803513  0.50642145  0.34749099
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[ 2.38095668]
[ 0.59198998  0.76321752  0.28146085  0.30086073  0.79523797  0.25689227
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[ 0.23822172]
[ 0.54153981  0.59089576  0.3887982   0.40906165  0.55561501  0.47244424
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[ 0.47760201  0.55961908  0.47909172  0.66612613  0.28636985  0.54002466
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[ 0.52790624]
[ 0.65363225  0.8014822   0.3987255   0.32764409  0.77668958  0.22604679
  0.6839382   0.4945594   0.16591556  0.2865252 ]
[-0.04977537]
[ 0.48549282  0.70527271  0.39015478  0.40205087  0.67853274  0.40366239
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[-0.24597377]
[ 0.68992959  0.69903818  0.21521099  0.45854056  0.84879415  0.23372532
  0.69164433  0.27208594  0.35444031  0.3022483 ]
[-0.23895923]
[ 0.54480961  0.67325875  0.40933658  0.39830968  0.57981145  0.26441435
  0.70419041  0.50743228  0.25442931  0.44062627]
Progress: 95.1% ... Training loss: 0.573 ... Validation loss: 0.955[-0.73882928]
[ 0.41973419  0.4946469   0.59593058  0.37195324  0.52228971  0.50981153
  0.48338436  0.4802264   0.49268504  0.61164093]
[ 0.51388037]
[ 0.60068629  0.79708195  0.45437279  0.38454755  0.65781138  0.34086079
  0.6100161   0.49807927  0.23744142  0.32964405]
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  0.5686381   0.25121353  0.34540434  0.39425194]
[-0.67527828]
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[ 0.2031684]
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[ 0.11824413]
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  0.44567306  0.40049218  0.42026587  0.47112909]
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  0.46230047  0.61967464  0.61741314  0.5481158 ]
[ 0.1587003]
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  0.44904587  0.66661358  0.59628877  0.67145194]
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  0.55190388  0.43342675  0.4096273   0.43956746]
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[ 0.45796299  0.36675636  0.56466619  0.56602744  0.35120026  0.469721
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[-0.13488224]
[ 0.59928515  0.69532162  0.48336129  0.44155722  0.59461088  0.43591022
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[-0.61255676]
[ 0.4853372   0.67925098  0.58729888  0.37969105  0.46514329  0.43488575
  0.51675687  0.5644791   0.30839331  0.38815881]
[ 0.12031888]
[ 0.58787228  0.66473755  0.44363334  0.33890747  0.77144922  0.4169663
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[-0.02265933]
[ 0.34701264  0.38885628  0.75251505  0.54294681  0.19419064  0.62433555
  0.52645275  0.67103207  0.61319926  0.61491546]
[ 0.34644723]
[ 0.38031897  0.44647074  0.67023104  0.43555958  0.25091203  0.67168982
  0.4075928   0.66316282  0.66215266  0.69282034]
[-0.72185961]
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  0.62332377  0.57373407  0.42098128  0.52095373]
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[ 0.78778592]
[ 0.2803442   0.50464169  0.48159288  0.54391131  0.4288389   0.61674242
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[ 0.80569705]
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  0.50153695  0.3536405   0.35442067  0.39201248]
[-0.19670359]
[ 0.46164855  0.42714861  0.72156378  0.42044587  0.2760588   0.52924414
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[ 0.1864412]
[ 0.43545702  0.75485592  0.51721475  0.45731386  0.59706751  0.47669254
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[ 0.37035874  0.58874027  0.4660877   0.61003959  0.28978299  0.46884226
  0.60602     0.73854524  0.57641507  0.55214812]
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[ 0.3606882   0.36290993  0.58777521  0.5421937   0.33113149  0.53472167
  0.51469624  0.65391433  0.59788798  0.5517866 ]
[ 1.17551307]
[ 0.46366066  0.61360663  0.51740648  0.38525605  0.61686195  0.40760534
  0.61686608  0.54412315  0.31183016  0.49578504]
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  0.61924144  0.60129665  0.44912393  0.41275477]
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  0.59029586  0.5335053   0.51845732  0.61475822]
[ 0.09350919]
[ 0.33297806  0.3844215   0.63830938  0.56680109  0.19605036  0.6874824
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[ 0.40046159]
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[ 1.06713187]
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[ 0.85121357]
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[ 0.13419228]
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[ 0.46780468]
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[ 0.05578788]
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[ 0.0069713]
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[ 2.43298558]
[ 0.55903004  0.65264503  0.55290095  0.37238739  0.5028084   0.45639012
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[ 1.47261153]
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[ 0.13536671]
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[ 0.09264771]
[ 0.36542807  0.48956306  0.64885236  0.34561868  0.38766221  0.53267838
  0.48668962  0.61256891  0.53476225  0.62092705]
[ 0.03593354]
[ 0.30137274  0.52400625  0.64816867  0.39760316  0.44288412  0.55959623
  0.51547109  0.60014534  0.5288996   0.47100403]
[-0.01342563]
[ 0.42171542  0.47302531  0.63230321  0.57565446  0.34202327  0.66522467
  0.55210482  0.64481453  0.5256712   0.65729444]
[ 0.03574005]
[ 0.3846269   0.34872417  0.6230925   0.584323    0.2463615   0.51843462
  0.45634096  0.67835506  0.72888226  0.6220564 ]
Progress: 95.4% ... Training loss: 0.573 ... Validation loss: 0.954[-0.04698626]
[ 0.56732211  0.63085298  0.5559533   0.41417282  0.36683904  0.52270951
  0.62187981  0.72968366  0.50703872  0.56186234]
[ 0.79273659]
[ 0.6148469   0.81594146  0.34262996  0.20762975  0.83146483  0.14870561
  0.64288868  0.33351819  0.19150799  0.32224758]
[ 0.852382]
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  0.61144793  0.6749003   0.47808118  0.67866161]
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[ 0.66540518  0.6386278   0.30522991  0.43519396  0.72149847  0.40161575
  0.60361844  0.24027643  0.39774015  0.23098517]
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[ 1.81692265]
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[ 2.28072441]
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[ 0.44514483]
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[ 0.49526729]
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[ 0.91389885]
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[ 0.29680904]
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[ 0.43509495]
[ 0.36548246  0.35928905  0.65445042  0.50436235  0.24550761  0.58208548
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[ 0.40189048]
[ 0.70590471  0.76983929  0.38367494  0.35391779  0.75552495  0.26937786
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[ 0.43039854  0.58222307  0.56006408  0.52605015  0.36844969  0.53915007
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[ 0.4859461   0.68075977  0.52872177  0.36378977  0.56486788  0.25789649
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[ 0.37785901  0.51161708  0.60532627  0.38733886  0.37945417  0.35823061
  0.67239513  0.76179373  0.56099184  0.55763336]
Progress: 95.7% ... Training loss: 0.573 ... Validation loss: 0.950[-0.31661244]
[ 0.37857075  0.5807595   0.3884334   0.37563093  0.49128879  0.43109459
  0.66186147  0.39960839  0.31671953  0.485055  ]
[ 0.46408694]
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[ 0.36230031]
[ 0.43695658  0.59012303  0.65042851  0.43518001  0.19345403  0.54838697
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[ 0.4852643]
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[ 0.00904783]
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[ 1.02501355]
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[ 0.34455566]
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[ 0.65222347]
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[ 0.47827026]
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[ 1.0158949]
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[ 0.49810098]
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[ 1.87306797]
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[ 0.08757222]
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[ 1.6785399]
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[ 1.61339865]
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[ 0.35994884]
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[ 0.58962358]
[ 0.4348479   0.59517622  0.58853191  0.52593484  0.26007595  0.56589758
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[ 1.67849105]
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[ 0.48223229]
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[ 0.8215471]
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[ 0.21482263]
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[ 0.52220678]
[ 0.57288351  0.68548727  0.49922384  0.44133006  0.60847003  0.39043781
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[ 0.4341066   0.5532953   0.52708237  0.38557457  0.52000679  0.49317807
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[ 0.57769045]
[ 0.49005586  0.72186176  0.58018275  0.48279014  0.4422389   0.46527712
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[ 0.32578676  0.42105585  0.79350152  0.46588183  0.23301815  0.5800401
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[ 0.34899556]
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[ 0.5520278]
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[ 0.06375771]
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[ 0.12596316]
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[ 0.17646045]
[ 0.55302253  0.77852268  0.49972131  0.37511691  0.60823555  0.39180223
  0.54065906  0.40373046  0.34036343  0.46480308]
[ 0.05159866]
[ 0.46757872  0.57880218  0.54035265  0.3985276   0.65757149  0.3858389
  0.51146835  0.33332747  0.39096211  0.43416818]
[ 0.57196563]
[ 0.35819259  0.53112012  0.73632063  0.40872628  0.33705874  0.54708137
  0.42666771  0.61305794  0.57627236  0.55149113]
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[ 0.42069862  0.5077873   0.59967475  0.53006496  0.38169105  0.42108175
  0.58106932  0.57921152  0.43592702  0.59718006]
[ 0.46954514]
[ 0.44753897  0.61566455  0.39580436  0.44636132  0.64373164  0.47171788
  0.50229143  0.51467884  0.42072513  0.48122496]
[-0.4655501]
[ 0.59023911  0.58136829  0.54692281  0.39344389  0.44414466  0.45154289
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[-0.47027783]
[ 0.46248273  0.57603895  0.43805342  0.44759252  0.46244253  0.38303872
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[-0.42785156]
[ 0.50225014  0.64307393  0.56257199  0.41242841  0.50994054  0.43028062
  0.59859774  0.56516479  0.40776043  0.42434486]
Progress: 96.0% ... Training loss: 0.572 ... Validation loss: 0.961[-0.14324333]
[ 0.58234692  0.73570618  0.3029793   0.39552276  0.68081214  0.49404139
  0.5543255   0.5219267   0.39498536  0.46961316]
[ 0.25745695]
[ 0.65406132  0.63665413  0.46481268  0.45296581  0.46837962  0.45543493
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[ 0.03621897]
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  0.65035428  0.3836163   0.34733879  0.49515866]
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[ 0.51909364  0.56780795  0.441473    0.41926456  0.78609152  0.24981438
  0.68353715  0.4415191   0.38779841  0.278985  ]
[-0.49354048]
[ 0.4511522   0.48276808  0.5077348   0.50603428  0.42917508  0.52180227
  0.55438128  0.66451058  0.55083759  0.67061774]
[ 1.16157212]
[ 0.64230394  0.73561571  0.36699605  0.44135831  0.57288051  0.32823432
  0.68949274  0.40600746  0.28737101  0.41033254]
[ 1.07584611]
[ 0.58097351  0.69110768  0.44208215  0.3332466   0.71052709  0.31035654
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  0.50953747  0.53073113  0.41533411  0.50498032]
[ 0.00024451]
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  0.51659244  0.66910543  0.59555719  0.57324875]
[ 0.10516498]
[ 0.43508614  0.37601266  0.61634984  0.49507128  0.17901617  0.60011054
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[ 0.6067861]
[ 0.38138051  0.53164431  0.55975646  0.43455092  0.54598084  0.51887661
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[ 0.52797246]
[ 0.34955748  0.50250112  0.65424996  0.30192356  0.51802458  0.40833992
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[ 0.55922665]
[ 0.40321669  0.57611807  0.74024726  0.38738962  0.35746246  0.40071117
  0.47933455  0.4414092   0.37115284  0.52816069]
[ 0.63166961]
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[-0.78371615]
[ 0.36688394  0.48240017  0.66378968  0.44973109  0.37711224  0.4070267
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[ 0.54584747]
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[-0.49480663]
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[ 1.15868195]
[ 0.63102386  0.66744064  0.38579612  0.32414507  0.83450149  0.17673631
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[-0.17337991]
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[-0.13807529]
[ 0.35773821  0.56911555  0.52871338  0.46501354  0.40617886  0.45210139
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[ 0.6700972]
[ 0.60361813  0.68327411  0.43883535  0.45181049  0.63815405  0.38304636
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  0.59294148  0.59441912  0.57516493  0.34865686]
[ 0.54291576]
[ 0.55067672  0.62044688  0.4306933   0.59060341  0.45747223  0.49874423
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[ 0.76932264]
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[-0.24155916]
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[ 2.47254985]
[ 0.62741502  0.6785623   0.42746946  0.29922647  0.67583423  0.28472419
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[ 0.02377935]
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[ 0.16404439]
[ 0.49789575  0.5772643   0.46939644  0.49452808  0.45005353  0.58794644
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[ 0.19578167]
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[-1.17440131]
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[ 0.04227694]
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[ 0.91666933]
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[ 0.04673883]
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[ 0.4170037]
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[ 0.02374411]
[ 0.38673639  0.55676723  0.68199966  0.40347152  0.38314622  0.6220026
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[ 1.96187252]
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[ 0.43891154]
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[ 0.77567725]
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[ 1.55379124]
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[ 0.35077362]
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[ 0.16979527]
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[ 1.35589524]
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[ 0.11538374]
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[ 0.05004959]
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[ 1.27688805]
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[ 1.01906065]
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[ 0.46812499]
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[ 1.62958768]
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[ 0.26791616]
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[ 0.47164091]
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[ 0.21333248]
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[ 0.01115172]
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[ 0.36398262]
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[ 0.87777979]
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[ 0.07519844]
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[ 2.97510905]
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[ 0.14959996]
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[ 0.63954474]
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[ 0.34362859]
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[ 0.56604457]
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[ 0.63005421]
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[ 0.572706    0.61526027  0.56362721  0.52531341  0.41613033  0.56012953
  0.43836957  0.47599473  0.4855389   0.42029308]
[-0.88398993]
[ 0.46754624  0.55515878  0.46871032  0.46228653  0.51291151  0.3429552
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[-0.38338767]
[ 0.44923126  0.4119226   0.52228275  0.59628705  0.45716837  0.68396153
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[ 0.32278133]
[ 0.46846667  0.663281    0.47217968  0.3061565   0.67094942  0.51094198
  0.53114541  0.46346522  0.44853959  0.67013502]
Progress: 96.3% ... Training loss: 0.571 ... Validation loss: 0.959[-0.77980733]
[ 0.59138959  0.53208059  0.62180388  0.51269423  0.46816711  0.38500627
  0.56850925  0.53291505  0.39918955  0.37441828]
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[ 0.00787142]
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[ 0.04037872]
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[ 0.35739221]
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[ 0.66341638]
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[ 0.65803504]
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[ 0.66411944]
[ 0.56944464  0.69168791  0.47659209  0.34683682  0.51198874  0.33572398
  0.48623205  0.50796504  0.4402533   0.47040396]
[ 0.13860474]
[ 0.57113274  0.61473577  0.56835935  0.41635591  0.51736738  0.48436428
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[-0.03832735]
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[ 0.40443701]
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[ 0.06655858]
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[ 0.61451161]
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  0.51767131  0.41184279  0.36745223  0.40927371]
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[ 0.31840482]
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[-0.20892505]
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[ 1.59960832]
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[ 0.88924386]
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[ 0.71134528]
[ 0.50497804  0.4771828   0.50354731  0.53502837  0.45866858  0.6179454
  0.49674912  0.40204022  0.45361344  0.50944729]
[ 0.13973848]
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[ 1.69655662]
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  0.67901085  0.35646292  0.3062938   0.31941634]
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[ 0.84377816]
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[ 0.5279818]
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[ 0.95519205]
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[ 0.33596087]
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[ 0.7907807]
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[ 0.01632485]
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[ 0.67784601]
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[ 0.76404444]
[ 0.6183334   0.73499059  0.33192965  0.34309045  0.788892    0.22604009
  0.67729505  0.31320499  0.28133941  0.37969918]
[ 0.23126996]
[ 0.28042039  0.39679668  0.70834483  0.53291914  0.28517733  0.61632676
  0.5156355   0.66399809  0.56253454  0.48525633]
[ 1.32274415]
[ 0.64267546  0.76048935  0.32619844  0.46378954  0.65565157  0.43929514
  0.55298712  0.45250788  0.37029911  0.36243983]
[ 0.38779497]
[ 0.63129686  0.73939138  0.35165091  0.41506214  0.64841152  0.45931213
  0.42919108  0.41208306  0.35948627  0.45541222]
Progress: 96.6% ... Training loss: 0.571 ... Validation loss: 0.953[ 0.0472198]
[ 0.52316035  0.69941547  0.3684401   0.5396828   0.52025501  0.37192166
  0.58692215  0.46092898  0.40527122  0.46686327]
[ 0.55204296]
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[ 0.02182802]
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[ 0.34895501]
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[ 0.59757714]
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[ 0.33461193]
[ 0.61705545  0.65683442  0.4515303   0.43602419  0.62558621  0.44790866
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[ 0.4956436]
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[ 0.01231057]
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[ 0.04931889]
[ 0.61040296  0.71823223  0.43490633  0.43000616  0.66562552  0.47083622
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[ 1.12036721]
[ 0.64821553  0.82764101  0.27848592  0.40997488  0.78394396  0.26429776
  0.70350729  0.46308715  0.26541972  0.33151499]
[ 1.35112273]
[ 0.45128006  0.70265788  0.461148    0.34074818  0.47435666  0.42909066
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[ 0.42819211]
[ 0.54241013  0.58694517  0.51260663  0.52215509  0.2724243   0.51869276
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[ 0.1723869]
[ 0.44028733  0.60659711  0.47391498  0.4107264   0.69310757  0.35641628
  0.51998257  0.54191486  0.36154415  0.44263975]
Progress: 96.9% ... Training loss: 0.571 ... Validation loss: 0.953[-0.28988628]
[ 0.46554537  0.35973235  0.74943112  0.52126756  0.35671972  0.5564639
  0.49857214  0.69886428  0.56277485  0.55549542]
[ 0.35842465]
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[ 0.2956356]
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[ 2.95417809]
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[ 0.06786206]
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[ 0.3282269]
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[ 0.03119761]
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[ 0.43655174]
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[ 0.16234189]
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[ 1.7678376]
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[ 0.06550205]
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[ 0.39271762]
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[ 0.25193114]
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[ 0.50441032]
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[ 0.95773578]
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[ 0.89391453]
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[ 3.19111758]
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[ 0.04176138]
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[ 0.37249031]
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[ 0.0635752]
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[ 2.27641157]
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[ 0.59476436]
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[ 0.11212526]
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[ 0.16056305]
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[ 0.05772995]
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[ 0.26788779]
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[ 1.29420448]
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[ 0.8643643]
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[ 0.56676894]
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[ 0.2837013]
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[ 0.61615357  0.69979085  0.39349264  0.5515129   0.54133336  0.54937889
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[ 0.06408422]
[ 0.34978226  0.40590629  0.59227872  0.6093956   0.22729026  0.69994483
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[ 0.46832372  0.55614485  0.46813763  0.46124529  0.5143491   0.34229549
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[ 0.52755663]
[ 0.36367854  0.5033488   0.73144846  0.46840617  0.29091988  0.43445255
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[ 0.19255519]
[ 0.35975919  0.33199863  0.67680243  0.49188785  0.1868855   0.6121422
  0.55604005  0.69767374  0.63993404  0.72624979]
Progress: 97.1% ... Training loss: 0.571 ... Validation loss: 0.951[-0.56414585]
[ 0.63056392  0.65100809  0.2906171   0.37924947  0.81571176  0.31813388
  0.75614085  0.39519513  0.42944198  0.33831812]
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[ 0.7714213]
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[ 1.18572267]
[ 0.40227708  0.58100147  0.69446768  0.50642867  0.46516198  0.48812994
  0.5654266   0.58157483  0.31118333  0.49971896]
[ 0.20990565]
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[ 0.01002551]
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[ 0.37943189]
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[-0.95591401]
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[ 0.78046393]
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[ 1.33018745]
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[ 0.57049291]
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[ 0.54844285]
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[ 0.06744023]
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[ 0.72161337]
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[ 0.36275832]
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[-0.31124025]
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[ 1.95990463]
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[ 0.764324]
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[ 0.24541656]
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[ 1.37475189]
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[ 0.2968388]
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[ 0.34451756]
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[ 0.15199445]
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[ 0.6886603]
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[ 0.79435488]
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[ 0.93075241]
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[ 1.22997894]
[ 0.53045877  0.6344951   0.61510004  0.38906705  0.40482653  0.53382294
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[ 0.65614305]
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[ 0.88847115]
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[ 0.12165912]
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[ 0.24966634]
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[ 0.96896759]
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[ 0.20209857]
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[ 0.86565814]
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[ 0.71827777]
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[ 0.03500931]
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[ 2.30994439]
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[ 1.23514621]
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[ 1.21019568]
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[ 0.28260913]
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[ 0.43656066]
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[ 1.21054188]
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[ 0.15815153]
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[ 0.34486883]
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[ 0.29036077]
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[ 0.24988932]
[ 0.56345186  0.60717111  0.52956127  0.44629198  0.34041125  0.45627457
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[ 0.55777348  0.61393541  0.40990028  0.64871245  0.21909799  0.52789065
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[ 0.41147211  0.66077323  0.53003256  0.39459374  0.36939579  0.5182514
  0.53076782  0.70912625  0.47571784  0.63001912]
Progress: 97.4% ... Training loss: 0.570 ... Validation loss: 0.950[ 0.47478576]
[ 0.51363905  0.60377601  0.4148064   0.49993164  0.44645419  0.4286261
  0.50924925  0.45372364  0.51985847  0.62646871]
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[ 0.10815604]
[ 0.36225199  0.60898548  0.62341623  0.45413925  0.4394256   0.52442906
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[ 0.25642621]
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[ 0.18287099]
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[ 0.0362079]
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[ 0.05675473]
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[ 0.10054312]
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[ 0.24027906]
[ 0.29000906  0.34504489  0.72291445  0.46032242  0.27361681  0.48714068
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[ 2.51079517]
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[ 0.42514212]
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[ 0.48271659]
[ 0.36132741  0.49393306  0.65853678  0.63055961  0.23832488  0.61136226
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[ 0.19394031]
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[ 0.15961293]
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[ 0.70861665]
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[ 0.70993713]
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[ 0.54322961]
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[ 0.19885244]
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[ 1.46616251]
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[ 0.17137182]
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[ 0.58887054]
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[ 1.11414676]
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[ 0.26339099]
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[ 0.47444206]
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[ 0.23178235]
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[ 0.7600894]
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[ 0.16333871]
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[ 1.48599412]
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[ 0.31699598]
[ 0.46570263  0.47404803  0.5980668   0.47636307  0.28690857  0.58670478
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[ 0.20089286]
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[ 0.47312916  0.46635139  0.59389618  0.50521214  0.30119606  0.58040663
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[ 0.37626666]
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[ 0.11666599]
[ 0.30598509  0.41312543  0.68843141  0.52103312  0.24436242  0.61223741
  0.35123928  0.61507051  0.5712599   0.68684173]
[-0.13451762]
[ 0.33923722  0.40034066  0.6977255   0.60384536  0.32215301  0.66383702
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[-0.52420291]
[ 0.36121015  0.429834    0.65284798  0.4331463   0.43701853  0.56785025
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[-0.90399254]
[ 0.40166326  0.45571168  0.58356925  0.4050876   0.63724325  0.46505056
  0.60130949  0.54901774  0.5009137   0.49725776]
Progress: 97.7% ... Training loss: 0.570 ... Validation loss: 0.946[-0.10599944]
[ 0.46716793  0.50800373  0.62157313  0.51076005  0.29871545  0.53692868
  0.53061923  0.72637512  0.55286641  0.59887909]
[ 2.13612091]
[ 0.6588194   0.70364237  0.44963545  0.37920903  0.62277751  0.42166184
  0.61270183  0.34906945  0.30207121  0.40947471]
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[ 1.43985369]
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  0.53582093  0.63415068  0.44913713  0.37236126]
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[ 0.40824014  0.45090943  0.60785004  0.55061351  0.29231454  0.50458787
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[ 0.37550169]
[ 0.52428524  0.63435805  0.488176    0.39418706  0.53611001  0.36648899
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[ 0.09528387]
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  0.43989671  0.55138333  0.55576646  0.58127885]
[ 0.22518011]
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  0.58361418  0.69612761  0.40314781  0.6308049 ]
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[ 0.08926608]
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[ 0.19463892]
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  0.56745372  0.37144078  0.42356725  0.37917297]
[ 0.82617019]
[ 0.22901155  0.39366779  0.64211647  0.46765013  0.41502951  0.59420915
  0.48047042  0.48605299  0.5097351   0.5964277 ]
Progress: 98.0% ... Training loss: 0.569 ... Validation loss: 0.946[ 1.10435608]
[ 0.59067041  0.51871305  0.49951697  0.43918904  0.44945871  0.36668105
  0.39867506  0.45333905  0.54606608  0.51863278]
[ 0.09028351]
[ 0.32844727  0.40633987  0.61221658  0.54086143  0.24674328  0.4621482
  0.49205434  0.67282493  0.71848534  0.60114561]
[ 0.00052482]
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  0.63384667  0.44395868  0.33878016  0.50605853]
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[ 0.39602778  0.43344114  0.7068894   0.64123262  0.30257363  0.64144442
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[ 0.14190031]
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[ 1.0622285]
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[ 0.057969]
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[ 1.11657739]
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[ 0.30688329]
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[ 0.5986699]
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[ 1.97990192]
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[ 0.73001411]
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[ 0.2044478]
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[ 0.69290566]
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[ 0.11918095]
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[ 1.385191]
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[ 0.11084944]
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[ 1.81687634]
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[ 1.33788705]
[ 0.33382267  0.5145687   0.52357409  0.4576703   0.48529557  0.61645158
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[ 0.01172079]
[ 0.35538203  0.33745287  0.59785232  0.58574567  0.2762763   0.60696174
  0.47272093  0.71207781  0.67510035  0.67709022]
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[ 0.50120653  0.56680965  0.33387867  0.49905088  0.69863659  0.42898949
  0.5907218   0.22944029  0.38913034  0.36058537]
[ 0.70849875]
[ 0.32331385  0.51186158  0.54357729  0.48508483  0.4998044   0.53493951
  0.46237541  0.66501265  0.53001701  0.65461316]
[ 0.30938361]
[ 0.35976756  0.4737418   0.57111377  0.47399802  0.39389519  0.5928742
  0.51871305  0.48526595  0.58508871  0.49137448]
[-0.61352396]
[ 0.62410319  0.80683128  0.33336432  0.33484564  0.79455653  0.2369411
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[-0.60146119]
[ 0.52641158  0.47371769  0.47693635  0.56922626  0.43915511  0.63205859
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[ 1.96367334]
[ 0.33805586  0.4866975   0.63996943  0.34615622  0.49233047  0.52816156
  0.51550103  0.47010124  0.50183209  0.43280068]
Progress: 98.3% ... Training loss: 0.569 ... Validation loss: 0.945[-0.63464364]
[ 0.63650613  0.73047265  0.23487088  0.33909402  0.84857469  0.31745569
  0.66725108  0.1865182   0.2292728   0.20717778]
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[ 0.48074434  0.43724584  0.74047614  0.62475538  0.24611917  0.59973645
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[ 0.4616579   0.52907005  0.48751879  0.51166777  0.65229462  0.36720583
  0.64892429  0.50292625  0.40950653  0.40847846]
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[ 0.16028891]
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  0.4366644   0.60958045  0.73590857  0.68627195]
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[-0.13438204]
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[ 0.57363439]
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[ 1.4649715]
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[ 0.48063862]
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[ 0.23247819]
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[ 0.01421243]
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[ 0.16389737]
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[ 0.3051985]
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[ 0.26211559]
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[ 0.7680655]
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[ 1.76026189]
[ 0.60849594  0.73924149  0.41156031  0.39865534  0.71452616  0.42590743
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[ 0.1864821]
[ 0.56215237  0.6340356   0.3364053   0.42372838  0.6724561   0.46466288
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[ 0.01818887]
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[ 1.25949364]
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[ 0.69367398]
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[ 0.08764175]
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[ 0.5386029]
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[ 0.28665124]
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[ 0.81088198]
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[ 0.00025184]
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[ 0.35537872]
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[ 0.33981603]
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[ 2.33052663]
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[ 0.4116333]
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[ 0.17946987]
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[ 2.03706512]
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[ 0.96969685]
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[ 1.04444329]
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[ 1.12878797]
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[ 0.10473729]
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[ 0.34272543]
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[ 0.13091426]
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[ 0.76732771]
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[ 0.26625967]
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[ 0.32403794]
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[ 0.07772949]
[ 0.52731706  0.60379104  0.40051416  0.47836305  0.50090636  0.45193778
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[ 0.5170425   0.60390666  0.5757206   0.45267516  0.46862814  0.55873772
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[ 1.61477517]
[ 0.4239045   0.45839051  0.52775341  0.44129915  0.43568275  0.53966585
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[ 0.42701571]
[ 0.60430688  0.58863155  0.52987763  0.35648769  0.69662931  0.33347379
  0.57209287  0.50728005  0.38523706  0.38286335]
Progress: 98.6% ... Training loss: 0.568 ... Validation loss: 0.953[ 1.21032133]
[ 0.69306583  0.75019322  0.31056268  0.31327982  0.84633373  0.2257519
  0.7166483   0.38290517  0.35301431  0.22622677]
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[ 1.02329885]
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[ 0.26064867]
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[ 0.23835718]
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[ 0.01835743]
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[ 0.38515245]
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[ 0.34603756]
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[ 0.01363087]
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[ 0.13595252]
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[ 2.04856371]
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[ 0.31168125]
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[ 0.00726863]
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[ 2.44078064]
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[ 0.83181497]
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[ 1.14245245]
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[ 0.02563369]
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[ 0.03244062]
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[ 1.18174061]
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[ 0.75952377]
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[ 0.2620996]
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[ 0.33248647]
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[ 1.17491016]
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[ 0.19336179]
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[ 2.33999487]
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[ 0.75367778]
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[ 1.10393793]
[ 0.52922203  0.62585762  0.33389769  0.5033837   0.50701369  0.48744633
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[ 0.75261747]
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[ 2.00103645]
[ 0.43181753  0.53893101  0.59721286  0.41036715  0.58314666  0.43595431
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[ 0.78880765]
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[ 0.0252322]
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[ 0.04738322]
[ 0.45654828  0.5884243   0.55475597  0.42803144  0.4607768   0.51644505
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[ 0.33307383]
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[ 0.22139963]
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[-0.37971514]
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  0.72089995  0.60320956  0.35115166  0.47563206]
[ 0.16248678]
[ 0.49593826  0.48265338  0.54111152  0.34688942  0.58839121  0.29938505
  0.62940148  0.43220084  0.39535396  0.45415022]
[ 2.0036872]
[ 0.29655457  0.4826779   0.72196768  0.50569807  0.3029148   0.67461595
  0.35306838  0.64915876  0.54076958  0.56928993]
[ 0.45879439]
[ 0.40932919  0.54688523  0.53797501  0.65988011  0.24859061  0.63022676
  0.50435443  0.5992732   0.4943076   0.66330774]
[-0.47923359]
[ 0.59369154  0.37804811  0.63733847  0.43752964  0.26654916  0.3468025
  0.60533545  0.52885381  0.44281079  0.59957068]
[-0.15195722]
[ 0.455689    0.66690037  0.44212304  0.53782176  0.4341839   0.54167014
  0.53198604  0.6869537   0.56018725  0.55757538]
[ 0.2288428]
[ 0.44306518  0.44933741  0.62601307  0.50888237  0.34330735  0.52105372
  0.49830561  0.64004182  0.68924854  0.56903726]
Progress: 98.9% ... Training loss: 0.567 ... Validation loss: 0.949[-0.00788652]
[ 0.45995623  0.44091197  0.55067062  0.49235689  0.37635073  0.38691764
  0.62657211  0.6373552   0.4665475   0.67294371]
[ 2.32488972]
[ 0.60244611  0.77364328  0.33248221  0.26910552  0.78474634  0.24947985
  0.73172179  0.45023757  0.23864209  0.42477422]
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[-0.70225952]
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  0.50175069  0.58188018  0.55313387  0.5791667 ]
[ 0.82582777]
[ 0.537444    0.58000869  0.4001442   0.42106222  0.61143063  0.26048282
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[ 1.62355351]
[ 0.56592718  0.62511645  0.5868244   0.44410553  0.42370249  0.53261328
  0.53769721  0.61552959  0.31600941  0.53350263]
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  0.48190138  0.63605947  0.43955458  0.48319362]
[ 0.68285328]
[ 0.47972801  0.57482411  0.60565844  0.39131957  0.45002361  0.5493279
  0.46489849  0.53076944  0.4813093   0.67043239]
[-0.48391733]
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[-0.29519663]
[ 0.61109553  0.61888765  0.50425671  0.43269622  0.4711622   0.31187307
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[-0.25462322]
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[-0.42240235]
[ 0.65475305  0.75505859  0.3588882   0.44002436  0.65038164  0.32770065
  0.55103914  0.43466292  0.34259882  0.29087307]
[ 0.30912437]
[ 0.22943335  0.41077283  0.79332067  0.43825315  0.20836684  0.66228197
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  0.47482102  0.53000167  0.53770302  0.47728333]
[ 1.32735902]
[ 0.66456061  0.69951534  0.45973541  0.50443711  0.53312296  0.52415577
  0.5167752   0.44590734  0.32999263  0.39751168]
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  0.64529675  0.12409026  0.23544918  0.25685252]
[ 1.46320495]
[ 0.55625688  0.65793159  0.39838303  0.35098361  0.67207449  0.2739069
  0.69051201  0.48927219  0.37495217  0.33522599]
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[ 0.40763308  0.52100354  0.57197769  0.46397803  0.48768612  0.63866888
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[-0.21976553]
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[-0.2261218]
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[ 0.3925104]
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  0.42067336  0.65019689  0.69288465  0.56695546]
[ 1.63934409]
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  0.6664578   0.52009004  0.17766089  0.37299807]
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  0.6196974   0.5849342   0.4239762   0.51742239]
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[-0.55901985]
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[ 0.22179014]
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[ 1.58635775]
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[ 1.45814159]
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[ 0.38650722]
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[ 1.33625248]
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[ 0.47664333]
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[ 1.37866521]
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[ 1.82311116]
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[ 0.55832582]
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[ 0.21877219]
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[ 0.01567678]
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[ 2.33100829]
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[ 0.6278802   0.57248494  0.64655675  0.39389176  0.43466237  0.34743223
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[ 0.49859536]
[ 0.61875483  0.60467304  0.37192781  0.46121929  0.77968481  0.2903925
  0.59346661  0.35528528  0.39557546  0.38454907]
[ 0.03313629]
[ 0.30954281  0.54253412  0.63513546  0.41125858  0.3269552   0.49004961
  0.56402952  0.58347694  0.51494654  0.52312932]
[ 0.98514872]
[ 0.51350482  0.610874    0.52803957  0.37371337  0.63725216  0.50102758
  0.58702051  0.60354815  0.37952594  0.54739467]
[ 0.92858659]
[ 0.4325034   0.44529367  0.64880351  0.54187158  0.3601678   0.5324413
  0.42324547  0.56510761  0.47215941  0.53764011]
[-0.33635053]
[ 0.40255719  0.61146347  0.56842961  0.42918972  0.62496524  0.46464348
  0.47678634  0.53061779  0.35661548  0.35218934]
[ 1.95672484]
[ 0.57119518  0.85887519  0.43340119  0.39233893  0.64384083  0.38342695
  0.61616482  0.57562134  0.21383806  0.32739895]
[ 0.14996551]
[ 0.44831097  0.60750926  0.46698124  0.35688211  0.70765477  0.39974895
  0.64170976  0.48016009  0.29374832  0.26506284]
Progress: 99.1% ... Training loss: 0.568 ... Validation loss: 0.938[-0.74223191]
[ 0.60783148  0.5566304   0.46272348  0.59967572  0.43404831  0.46961618
  0.60727265  0.4782406   0.49763748  0.53954986]
[ 0.55341523]
[ 0.5326578   0.64144895  0.40968998  0.40837556  0.68968763  0.50070149
  0.52315983  0.37279744  0.34457366  0.37664257]
[ 0.43600333]
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  0.49406744  0.39474292  0.4586703   0.3788143 ]
[-0.59334987]
[ 0.54203449  0.47338599  0.57817286  0.49971811  0.41858408  0.50207939
  0.40230045  0.54151281  0.62062059  0.44661886]
[ 0.81557039]
[ 0.29232751  0.51497732  0.70180114  0.38266065  0.41103725  0.50813603
  0.38402335  0.42293799  0.46668382  0.61816811]
[ 0.3921035]
[ 0.4126117   0.44869018  0.61663947  0.4597315   0.27930133  0.62470234
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[ 1.52468105]
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[ 0.27029936]
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[ 0.6620185]
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[ 0.42177703]
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[ 0.47502658]
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[ 0.31207544  0.40029838  0.69498872  0.42283307  0.36848781  0.47664672
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[ 0.54620081  0.63771978  0.54011523  0.3525345   0.53531736  0.49232066
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[ 0.25057255]
[ 0.55197094  0.53323487  0.43377353  0.41779715  0.70519035  0.28317945
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[ 0.49284834  0.60430307  0.4792881   0.5986725   0.44676239  0.61258889
  0.48997615  0.36184673  0.42812308  0.43125166]
Progress: 99.4% ... Training loss: 0.567 ... Validation loss: 0.949[ 3.19218832]
[ 0.51989008  0.66537048  0.47276769  0.40722903  0.54038331  0.38468624
  0.60756691  0.49200027  0.29409148  0.38009253]
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[ 1.28135571]
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[ 0.50735391]
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[ 0.36167784]
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[ 0.06925687]
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[ 0.06770469]
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[ 0.49725149]
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[ 0.82621976]
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[ 0.69784532]
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[ 0.94000702]
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[ 0.00868276]
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[ 0.30598373]
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[ 0.2042402]
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[ 1.27237175]
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[ 1.23506711]
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[ 0.21950993]
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[ 2.60537196]
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[ 0.49826053]
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[-0.09026662]
[ 0.4474609   0.53174531  0.57201435  0.42998808  0.46875092  0.32739425
  0.57653724  0.422023    0.36429745  0.5106447 ]
[-0.17396029]
[ 0.42521772  0.56840117  0.50275913  0.57802981  0.22382061  0.59939872
  0.52963804  0.68505327  0.51819498  0.61795242]
[-0.16294958]
[ 0.50992035  0.70200458  0.27571335  0.39070764  0.81130355  0.30884538
  0.66859822  0.19382635  0.27518027  0.26559797]
[-0.6029708]
[ 0.41223549  0.62716456  0.47205991  0.4806185   0.5537659   0.40303576
  0.65687513  0.60833902  0.50070191  0.4404649 ]
[ 1.63568054]
[ 0.64582636  0.71792618  0.58638163  0.33035341  0.44786657  0.29136193
  0.66698543  0.5194656   0.17709776  0.3720975 ]
[ 0.58419781]
[ 0.40650687  0.50245333  0.59403577  0.42105711  0.53309187  0.59539179
  0.5194709   0.65190468  0.54259136  0.64968555]
[-0.19820542]
[ 0.51504999  0.43133192  0.58663402  0.46405032  0.4141125   0.56399054
  0.34240006  0.44851491  0.54614873  0.54629948]
[-0.19414052]
[ 0.34111436  0.42271515  0.53615959  0.55512613  0.31365341  0.68477093
  0.50390308  0.62250341  0.5758901   0.62654672]
[-0.50129232]
[ 0.50928845  0.65451719  0.40642869  0.52483121  0.43411952  0.56034827
  0.51611721  0.56816155  0.48956937  0.48462322]
[ 0.75548015]
[ 0.42717066  0.65378272  0.6137091   0.40515287  0.6458051   0.47956873
  0.58911047  0.49020975  0.40040852  0.36986621]
[-0.35455762]
[ 0.43372134  0.54028624  0.64859701  0.41556448  0.30957649  0.47384382
  0.45892418  0.68915502  0.66970355  0.59099622]
[-0.57549741]
[ 0.63912322  0.61870429  0.32207247  0.48469334  0.66864619  0.45667146
  0.59576812  0.27393464  0.44673208  0.27354996]
[ 2.86021948]
[ 0.41194212  0.58791857  0.47637358  0.35739898  0.71129639  0.46275919
  0.56587425  0.46010849  0.35538738  0.32525683]
[-0.30911843]
[ 0.54310588  0.73082999  0.43397342  0.46518357  0.59179177  0.53852193
  0.53371299  0.5351419   0.32008581  0.48960108]
[-0.81874554]
[ 0.3864985   0.56063128  0.55491921  0.37311649  0.45441822  0.47636754
  0.52250222  0.41652008  0.37397544  0.576348  ]
[ 1.45589669]
[ 0.58624924  0.8326864   0.37122393  0.27572521  0.79107123  0.23437849
  0.57296131  0.32088014  0.19458688  0.35481133]
[ 2.50515643]
[ 0.49885576  0.77609356  0.34374568  0.23907607  0.77796938  0.31075568
  0.53710961  0.45286601  0.26164869  0.40094498]
[-0.06364864]
[ 0.40522722  0.33773728  0.71062808  0.58684311  0.26229102  0.54187238
  0.4288369   0.70560786  0.58303092  0.58652916]
[ 0.84777122]
[ 0.29893066  0.42991313  0.58206787  0.48979979  0.30831382  0.54037285
  0.56394756  0.54288164  0.41202935  0.62005587]
[-0.61506829]
[ 0.64170226  0.41689076  0.59190061  0.58736306  0.38904529  0.43454068
  0.46546963  0.53912438  0.5407519   0.46858296]
[-1.06584468]
[ 0.51443698  0.64968057  0.49432413  0.43734923  0.65081796  0.27165865
  0.63522197  0.5071345   0.30331024  0.31670958]
[ 2.46326193]
[ 0.66770569  0.71884244  0.42311274  0.31241902  0.78636866  0.31651538
  0.71962254  0.31963649  0.21216688  0.29165842]
[ 0.35292755]
[ 0.4355702   0.67224776  0.35757582  0.4007456   0.65128401  0.34277187
  0.62349859  0.34288297  0.30122437  0.4554533 ]
[ 1.05378438]
[ 0.47281402  0.50670729  0.57332227  0.50558435  0.32021155  0.48059563
  0.43092743  0.45585537  0.42503372  0.56986182]
[ 0.05785421]
[ 0.60548406  0.61376333  0.48579696  0.38051385  0.53807414  0.31169409
  0.73659976  0.34727227  0.28104994  0.4211593 ]
[-0.30589979]
[ 0.62023179  0.68131623  0.3770435   0.44437324  0.57226247  0.41848324
  0.63305563  0.57789454  0.40237444  0.55022814]
[-0.20119263]
[ 0.36134868  0.62877123  0.43395786  0.391615    0.54873667  0.42128179
  0.60863054  0.472432    0.47889974  0.4462765 ]
[-0.00049168]
[ 0.4881411   0.51372808  0.46616301  0.46341729  0.36121041  0.46849265
  0.62241315  0.58363419  0.40536204  0.66051542]
[-0.39297981]
[ 0.27004575  0.30603015  0.70747422  0.40974489  0.44352256  0.55980649
  0.59108161  0.53307132  0.51643028  0.61371375]
[ 0.2793444]
[ 0.45775905  0.43449459  0.67933345  0.55887118  0.1637483   0.58415918
  0.52874506  0.78167649  0.6579285   0.69556054]
[-0.33582604]
[ 0.43690577  0.40236667  0.64123376  0.61095944  0.37590737  0.60648443
  0.47368129  0.44191946  0.51823987  0.45743854]
[ 1.15390359]
[ 0.3614243   0.67632886  0.64140784  0.4136309   0.50415984  0.55267011
  0.50825966  0.55643633  0.41720666  0.42955585]
[-0.20929055]
[ 0.37662775  0.52037923  0.71799295  0.43597037  0.40994293  0.54890476
  0.46294383  0.58276984  0.42813972  0.36403174]
[ 0.17814644]
[ 0.463901    0.49147774  0.6417195   0.46810284  0.38421662  0.36964851
  0.53373591  0.53833137  0.49457903  0.42930867]
[-0.00574263]
[ 0.41230694  0.59078608  0.65164316  0.42255036  0.28404325  0.54699104
  0.45057099  0.66339877  0.54603825  0.68327939]
[-0.0020348]
[ 0.36746896  0.43095919  0.60695463  0.39721272  0.26744656  0.46247442
  0.52792605  0.60029253  0.56869082  0.77380773]
[ 2.40252821]
[ 0.53337164  0.77137617  0.34656088  0.38867943  0.59069548  0.3287791
  0.6470276   0.30988153  0.25127473  0.35459707]
[-0.49901078]
[ 0.61300621  0.54508044  0.46157844  0.36321615  0.65138119  0.39976659
  0.68534469  0.49371963  0.43847423  0.48005582]
[-0.7101973]
[ 0.43855578  0.66850007  0.51319572  0.36086152  0.39887519  0.30256229
  0.57691201  0.50433414  0.4078119   0.55790355]
[-0.54024533]
[ 0.4835949   0.57963498  0.55271403  0.4374732   0.52974797  0.55934378
  0.57624651  0.64827544  0.5549577   0.51722059]
[ 0.4334954]
[ 0.32149174  0.5792159   0.63559459  0.30024443  0.47679204  0.43297696
  0.56486407  0.45525295  0.55434603  0.60562846]
[ 0.54516488]
[ 0.47910534  0.63971923  0.61024319  0.29447831  0.46588232  0.45602219
  0.54237063  0.6459325   0.42011436  0.4538874 ]
[-0.13107168]
[ 0.50822178  0.74217656  0.33427492  0.34982133  0.62494729  0.37403567
  0.73651163  0.51132897  0.33067012  0.45040219]
Progress: 99.7% ... Training loss: 0.567 ... Validation loss: 0.937

plt.plot(losses['train'], label='Training loss')
plt.plot(losses['validation'], label='Validation loss')
plt.legend()
_ = plt.ylim()

Check out your predictions

Here, use the test data to view how well your network is modeling the data. If something is completely wrong here, make sure each step in your network is implemented correctly.

fig, ax = plt.subplots(figsize=(8,4))

mean, std = scaled_features['cnt']
predictions = network.run(test_features).T*std + mean
ax.plot(predictions[0], label='Prediction')
ax.plot((test_targets['cnt']*std + mean).values, label='Data')
ax.set_xlim(right=len(predictions))
ax.legend()

dates = pd.to_datetime(rides.ix[test_data.index]['dteday'])
dates = dates.apply(lambda d: d.strftime('%b %d'))
ax.set_xticks(np.arange(len(dates))[12::24])
_ = ax.set_xticklabels(dates[12::24], rotation=45)

OPTIONAL: Thinking about your results(this question will not be evaluated in the rubric).

Answer these questions about your results. How well does the model predict the data? Where does it fail? Why does it fail where it does?

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